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https://github.com/azminewasi/Awesome-Graph-Research-NeurIPS2024

All graph/GNN papers accepted at NeurIPS 2024.
https://github.com/azminewasi/Awesome-Graph-Research-NeurIPS2024

List: Awesome-Graph-Research-NeurIPS2024

gnn graph neurips neurips-2024

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All graph/GNN papers accepted at NeurIPS 2024.

Awesome Lists containing this project

README 

        
# **Awesome NeurIPS 2024 Graph Paper Collection**



This repo contains a comprehensive compilation of **graph and/or GNN** papers that were accepted at the [Thirty-Eighth Annual Conference on Neural Information Processing Systems 2024](https://neurips.cc/). Graph or Geometric machine learning possesses an indispensable role within the domain of machine learning research, providing invaluable insights, methodologies, and solutions to a diverse array of challenges and problems. 



**Short Overview**: We've got around 450-500 papers focusing on Graphs and GNNs in NeurIPS'24, almost 1.75-2x of ICML'24. Seems like diffusion, transformers, agents and knowledge graphs had a good focus in NeurIPS'24.



**Have a look and throw me a review (and, a star ⭐, maybe!)** Thanks!



---



## **All Topics:** 



  View Topic list!



- [GNN Theories](#theories)

  - [Weisfeiler Leman](#Weisfeiler-Leman )

  - [Heterophily](#Heterophily)

  - [Hypergraph](#Hypergraph)

  - [Expressivity](#Expressivity)

  - [Generalization](#Generalization)

  - [Equivariant Graph Neural Networks](#Equivariant)

  - [Out-of-Distribution](#OOD)

  - [Diffusion](#Diffusion)

  - [Graph Matching](#GraphMatching)

  - [Flow Matching](#FlowMatching)

  - [Contrastive Learning](#ContrastiveLearning)

  - [Clustering](#Clustering)

  - [Foundational Models](#FM)

  - [Message Passing Neural Networks](#MPNN)

  - [Transformers](#GraphTransformers)

  - [Optimal Transport](#OptimalTransport)

  - [Graph Generation](#ggen)

  - [Unsupervised Learning](#UL)

  - [Meta-learning](#GraphMeta-learning)

  - [Disentanglement](#Disentanglement)

  - [Others](#GNNT-others)

- [GNNs for PDE/ODE/Physics](#PDE)

- [Graph and Large Language Models/Agents](#LLM)

- [Knowledge Graph and Knowledge Graph Embeddings](#KG)

- [GNN Applications](#apps)

- [Spatial and/or Temporal GNNs](#SpatialTemporalGNNs)

- [Explainable AI](#xai)

- [Reinforcement Learning](#rl)

- [Graphs, Molecules and Biology](#molecular)

- [GFlowNets](#GFlowNets)

- [Causal Discovery and Graphs](#Causal)

- [Federated Learning, Privacy, Decentralization](#FL)

- [Scene Graphs](#SceneGraphs)

- [Graphs, GNNs and Efficiency](#Efficiency)

- [Others](#Others)

- [More Possible Works](#more)






## GNN Theories 






#### Weisfeiler Leman 

- [Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning](https://openreview.net/pdf?id=9O2sVnEHor)



#### Heterophily

- [Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles](https://openreview.net/pdf?id=uatPOPWzzU)

- [On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks](https://openreview.net/pdf?id=3LZHatxUa9)



#### Hypergraph

- [Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover](https://openreview.net/pdf?id=4A5IQEjG8c)

- [Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph](https://openreview.net/pdf?id=A3jHvChR8K)

- [Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting](https://openreview.net/pdf?id=RNbrIQ0se8)

- [Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval](https://openreview.net/pdf?id=xOCAURlVM9)



#### Expressivity

- [On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks](https://openreview.net/pdf?id=8APPypS0yN)

- [On the Expressive Power of Tree-Structured Probabilistic Circuits](https://openreview.net/pdf?id=suYAAOI5bd)



#### Generalization

- [Bridging OOD Detection and Generalization: A Graph-Theoretic View](https://openreview.net/pdf?id=qzwAG8qxI1)

- [Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond](https://openreview.net/pdf?id=ZNcJtNN3e8)

- [Improving Generalization of Dynamic Graph Learning via Environment Prompt](https://openreview.net/pdf?id=RJG8ar4wHA)

- [Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance](https://openreview.net/pdf?id=MQIET1VfoV)

- [Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms](https://openreview.net/pdf?id=6U5fCHIWOC)






#### Equivariant Graph Neural Networks

- [A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening](https://openreview.net/pdf?id=9cFyqhjEHC)

- [Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation](https://openreview.net/pdf?id=Aj0Zf28l6o)

- [Identifiability Guarantees for Causal Disentanglement from Purely Observational Data](https://openreview.net/pdf?id=M20p6tq9Hq)

- [Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?](https://openreview.net/pdf?id=M0ncNVuGYN)

- [Equivariant spatio-hemispherical networks for diffusion MRI deconvolution](https://openreview.net/pdf?id=MxWpCherzD)

- [ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation](https://openreview.net/pdf?id=avsZ9OlR60)

- [Approximately Equivariant Neural Processes](https://openreview.net/pdf?id=dqT9MC5NQl)

- [Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters](https://openreview.net/pdf?id=y8P633E5HQ)

- [Equivariant Neural Diffusion for Molecule Generation](https://openreview.net/pdf?id=40pE5pFhWl)






#### Out-of-Distribution

- [Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity](https://openreview.net/pdf?id=fkbMlfDBxm)

- [Revisiting Score Propagation in Graph Out-of-Distribution Detection](https://openreview.net/pdf?id=jb5qN3212b)

- [PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling](https://openreview.net/pdf?id=z86knmjoUq)






#### Graph Matching

- [Efficient Graph Matching for Correlated Stochastic Block Models](https://openreview.net/pdf?id=nBhfIcDnRP)

- [Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval](https://openreview.net/pdf?id=udTwwF7tks)






#### Flow Matching

- [FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions](https://openreview.net/pdf?id=0bFXbEMz8e)

- [Fisher Flow Matching for Generative Modeling over Discrete Data](https://openreview.net/pdf?id=6jOScqwdHU)

- [Variational Flow Matching for Graph Generation](https://openreview.net/pdf?id=UahrHR5HQh)

- [Generalized Protein Pocket Generation with Prior-Informed Flow Matching](https://openreview.net/pdf?id=WyVTj77KEV)






#### Contrastive Learning

- [Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors](https://openreview.net/pdf?id=H0qu4moFly)

- [A probability contrastive learning framework for 3D molecular representation learning](https://openreview.net/pdf?id=HYiR6tGQPv)

- [How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval](https://openreview.net/pdf?id=LQBlSGeOGm)

- [Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference](https://openreview.net/pdf?id=PoCs4jq7cV)

- [Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering](https://openreview.net/pdf?id=R8SolCx62K)

- [FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features](https://openreview.net/pdf?id=VUuOsBrqaw)

- [Unified Graph Augmentations for Generalized Contrastive Learning on Graphs](https://openreview.net/pdf?id=jgkKroLxeC)

- [Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers](https://openreview.net/pdf?id=u6FuiKzT1K)



### Diffusion

- [Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation](https://openreview.net/pdf?id=x4Kk4FxLs3)

- [Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis](https://openreview.net/pdf?id=sntv8Ac3U2)

- [MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs](https://openreview.net/pdf?id=re2jPCnzkA)

- [Unifying Generation and Prediction on Graphs with Latent Graph Diffusion](https://openreview.net/pdf?id=lvibangnAs)

- [SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning](https://openreview.net/pdf?id=iSMTo0toDO)

- [DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction](https://openreview.net/pdf?id=h3Kv6sdTWO)

- [Diffusion Twigs with Loop Guidance for Conditional Graph Generation](https://openreview.net/pdf?id=fvOCJAAYLx)

- [Graph Diffusion Transformers for Multi-Conditional Molecular Generation](https://openreview.net/pdf?id=cfrDLD1wfO)

- [NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing](https://openreview.net/pdf?id=bCR2NLm1QW)

- [Differentially Private Graph Diffusion with Applications in Personalized PageRanks](https://openreview.net/pdf?id=aon7bwYBiq)

- [Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching](https://openreview.net/pdf?id=ZupoMzMNrO)

- [Discrete-state Continuous-time Diffusion for Graph Generation](https://openreview.net/pdf?id=YkSKZEhIYt)

- [Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design](https://openreview.net/pdf?id=Y79L45D5ts)

- [Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion](https://openreview.net/pdf?id=RxkcroC8qP)

- [Geometric Trajectory Diffusion Models](https://openreview.net/pdf?id=OYmms5Mv9H)

- [DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut](https://openreview.net/pdf?id=N0xNf9Qqmc)

- [DiffuBox: Refining 3D Object Detection with Point Diffusion](https://openreview.net/pdf?id=J2wOOtkBx0)

- [Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization](https://openreview.net/pdf?id=EWcvxXtzNu)

- [Graph Diffusion Policy Optimization](https://openreview.net/pdf?id=8ohsbxw7q8)

- [Faster Local Solvers for Graph Diffusion Equations](https://openreview.net/pdf?id=3Z0LTDjIM0)



#### Clustering

- [From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement](https://openreview.net/pdf?id=p4a1nSvwD7)

- [HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning](https://openreview.net/pdf?id=fx6aSBMu6z)

- [Graph Neural Networks Need Cluster-Normalize-Activate Modules](https://openreview.net/pdf?id=faj2EBhdHC)

- [DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach](https://openreview.net/pdf?id=V42zfM2GXw)

- [Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective](https://openreview.net/pdf?id=I6tRENM5Ya)

- [Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding](https://openreview.net/pdf?id=BpJ6OTfWw3)

- [Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention](https://openreview.net/pdf?id=3j2nasmKkP)

- [TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering](https://openreview.net/pdf?id=26BdXIY3ik)






#### Message Passing Neural Networks

- [How Does Message Passing Improve Collaborative Filtering?](https://openreview.net/pdf?id=c78U5zi4eA)

- [Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks](https://openreview.net/pdf?id=aRokfUfIQs)

- [Pure Message Passing Can Estimate Common Neighbor for Link Prediction](https://openreview.net/pdf?id=Xa3dVaolKo)

- [Towards Dynamic Message Passing on Graphs](https://openreview.net/pdf?id=4BWlUJF0E9)






#### Foundational Models

- [Cell ontology guided transcriptome foundation model](https://openreview.net/pdf?id=aeYNVtTo7o)

- [A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning](https://openreview.net/pdf?id=VQyb9LKmUH)

- [A Foundation Model for Zero-shot Logical Query Reasoning](https://openreview.net/pdf?id=JRSyMBBJi6)

- [MeshXL: Neural Coordinate Field for Generative 3D Foundation Models](https://openreview.net/pdf?id=Gcks157FI3)

- [GFT: Graph Foundation Model with Transferable Tree Vocabulary](https://openreview.net/pdf?id=0MXzbAv8xy)






#### Transformers

- [Supra-Laplacian Encoding for Transformer on Dynamic Graphs](https://openreview.net/pdf?id=vP9qAzr2Gw)

- [Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors](https://openreview.net/pdf?id=i8LoWBJf7j)

- [Long-range Brain Graph Transformer](https://openreview.net/pdf?id=fjLCqicn64)

- [Graph Convolutions Enrich the Self-Attention in Transformers!](https://openreview.net/pdf?id=ffNrpcBpi6)

- [Molecule Design by Latent Prompt Transformer](https://openreview.net/pdf?id=dg3tI3c2B1)

- [EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection](https://openreview.net/pdf?id=cknAewsBhD)

- [Graph Diffusion Transformers for Multi-Conditional Molecular Generation](https://openreview.net/pdf?id=cfrDLD1wfO)

- [CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos](https://openreview.net/pdf?id=Zg4zs0l2iH)

- [Knowledge Circuits in Pretrained Transformers](https://openreview.net/pdf?id=YVXzZNxcag)

- [ProTransformer: Robustify Transformers via Plug-and-Play Paradigm](https://openreview.net/pdf?id=UkauUrTbxx)

- [Enhancing Graph Transformers with Hierarchical Distance Structural Encoding](https://openreview.net/pdf?id=U4KldRgoph)

- [Towards Principled Graph Transformers](https://openreview.net/pdf?id=LJCQH6U0pl)

- [Even Sparser Graph Transformers](https://openreview.net/pdf?id=K3k4bWuNnk)

- [Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers](https://openreview.net/pdf?id=Eok6HbcSRI)

- [$\\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes](https://openreview.net/pdf?id=AvBuK8Ezrg)

- [Understanding Transformer Reasoning Capabilities via Graph Algorithms](https://openreview.net/pdf?id=AfzbDw6DSp)

- [Transformers need glasses! Information over-squashing in language tasks](https://openreview.net/pdf?id=93HCE8vTye)

- [Finding Transformer Circuits With Edge Pruning](https://openreview.net/pdf?id=8oSY3rA9jY)

- [ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses](https://openreview.net/pdf?id=3xHCaDdYcc)

- [Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention](https://openreview.net/pdf?id=3j2nasmKkP)






#### Optimal Transport

- [Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss](https://openreview.net/pdf?id=tPgagXpvcV)

- [Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling](https://openreview.net/pdf?id=hGgkdFF2hR)

- [Fairness in Social Influence Maximization via Optimal Transport](https://openreview.net/pdf?id=axW8xvQPkF)






#### Graph Generation

- [Scene Graph Generation with Role-Playing Large Language Models](https://openreview.net/pdf?id=xpRUi8amtC)

- [Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation](https://openreview.net/pdf?id=x4Kk4FxLs3)

- [Diffusion Twigs with Loop Guidance for Conditional Graph Generation](https://openreview.net/pdf?id=fvOCJAAYLx)

- [Discrete-state Continuous-time Diffusion for Graph Generation](https://openreview.net/pdf?id=YkSKZEhIYt)

- [FairWire: Fair Graph Generation](https://openreview.net/pdf?id=V0JvwCQlJe)

- [Adaptive Visual Scene Understanding: Incremental Scene Graph Generation](https://openreview.net/pdf?id=6lwKOvL3KN)






#### Unsupervised Learning

- [Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization](https://openreview.net/pdf?id=zkhyrxlwqH)

- [Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning](https://openreview.net/pdf?id=xaqPAkJnAS)

- [Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models](https://openreview.net/pdf?id=a1wf2N967T)






#### Graph Meta-learning

- [DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for  Cognitive Diagnosis](https://openreview.net/pdf?id=lJuQxkDbDo)

- [Long-range Meta-path Search on Large-scale Heterogeneous Graphs](https://openreview.net/pdf?id=hbOWLtJNMK)



#### Disentanglement

- [Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation](https://openreview.net/pdf?id=zGN0YWy2he)






## GNNs for PDE/ODE/Physics

- [What is my quantum computer good for? Quantum capability learning with physics-aware neural networks](https://openreview.net/pdf?id=4cU9ZvOkBz)

- [Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs](https://openreview.net/pdf?id=ncqauwSyl5)






## Graph and Large Language Models/Agents

- [Online Relational Inference for Evolving Multi-agent Interacting Systems](https://openreview.net/pdf?id=miO8odRzto)

- [Can Graph Learning Improve Planning in LLM-based Agents?](https://openreview.net/pdf?id=bmoS6Ggw4j)

- [UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction](https://openreview.net/pdf?id=Nycj81Z692)

- [Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems](https://openreview.net/pdf?id=NGpMCH5q7Y)

- [Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context](https://openreview.net/pdf?id=re0ly2Ylcu)

- [GraphVis: Boosting LLMs with Visual Knowledge Graph Integration](https://openreview.net/pdf?id=haVPmN8UGi)

- [Ad Auctions for LLMs via Retrieval Augmented Generation](https://openreview.net/pdf?id=Ujo8V7iXmR)

- [Transcoders find interpretable LLM feature circuits](https://openreview.net/pdf?id=J6zHcScAo0)

- [SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation](https://openreview.net/pdf?id=HmCmxbCpp2)

- [LLM Dataset Inference: Did you train on my dataset?](https://openreview.net/pdf?id=Fr9d1UMc37)

- [LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings](https://openreview.net/pdf?id=32g9BWTndc)






## Knowledge Graph and Knowledge Graph Embeddings

- [KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge](https://openreview.net/pdf?id=rDoPMODpki)

- [GraphVis: Boosting LLMs with Visual Knowledge Graph Integration](https://openreview.net/pdf?id=haVPmN8UGi)

- [Knowledge Graph Completion by Intermediate Variables Regularization](https://openreview.net/pdf?id=d226uyWYUo)

- [A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning](https://openreview.net/pdf?id=VQyb9LKmUH)

- [DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach](https://openreview.net/pdf?id=V42zfM2GXw)

- [Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction](https://openreview.net/pdf?id=V2MBWYXp63)

- [KnowGPT: Knowledge Graph based Prompting for Large Language Models](https://openreview.net/pdf?id=PacBluO5m7)

- [UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction](https://openreview.net/pdf?id=Nycj81Z692)

- [Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model](https://openreview.net/pdf?id=GB5a0RRYuv)

- [Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs](https://openreview.net/pdf?id=CwCUEr6wO5)

- [Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding](https://openreview.net/pdf?id=BpJ6OTfWw3)






## Spatial and/or Temporal GNNs

- [Learning from Highly Sparse Spatio-temporal Data](https://openreview.net/pdf?id=rTONicCCJm)

- [EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection](https://openreview.net/pdf?id=cknAewsBhD)

- [A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking](https://openreview.net/pdf?id=VUBtAcQN44)

- [DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach](https://openreview.net/pdf?id=V42zfM2GXw)

- [State Space Models on Temporal Graphs: A First-Principles Study](https://openreview.net/pdf?id=UaJErAOssN)

- [Improving Temporal Link Prediction via Temporal Walk Matrix Projection](https://openreview.net/pdf?id=Ti3ciyqlS3)

- [Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs](https://openreview.net/pdf?id=6n709MszkP)

- [Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed](https://openreview.net/pdf?id=266nH7kLSV)






## GNN Applications

- [Differentially Private Graph Diffusion with Applications in Personalized PageRanks](https://openreview.net/pdf?id=aon7bwYBiq)

- [A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds](https://openreview.net/pdf?id=XlvUz9F50g)

- [PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications](https://openreview.net/pdf?id=WvoKwq12x5)

- [Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model](https://openreview.net/pdf?id=GB5a0RRYuv)

- [A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis](https://openreview.net/pdf?id=STrpbhrvt3)

- [HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data](https://openreview.net/pdf?id=HUxtJcQpDS)

- [Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series](https://openreview.net/pdf?id=9hCn01VAdC)






## Explainable AI

- [Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning](https://openreview.net/pdf?id=ziehA15y8k)

- [A hierarchical decomposition for explaining ML performance discrepancies](https://openreview.net/pdf?id=nXXwYsARXB)

- [RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks](https://openreview.net/pdf?id=ejWvCpLuwu)

- [MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs](https://openreview.net/pdf?id=re2jPCnzkA)

- [Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors](https://openreview.net/pdf?id=i8LoWBJf7j)

- [GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules](https://openreview.net/pdf?id=fzlMza6dRZ)

- [Transcoders find interpretable LLM feature circuits](https://openreview.net/pdf?id=J6zHcScAo0)






## Reinforcement Learning

- [Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning](https://openreview.net/pdf?id=ziehA15y8k)

- [FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation](https://openreview.net/pdf?id=q9RLsvYOB3)

- [Optimizing Automatic Differentiation with Deep Reinforcement Learning](https://openreview.net/pdf?id=hVmi98a0ki)

- [On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games](https://openreview.net/pdf?id=QgMC8ftbNd)

- [Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems](https://openreview.net/pdf?id=NGpMCH5q7Y)

- [Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning](https://openreview.net/pdf?id=DUFD6vsyF8)

- [Enhancing Chess Reinforcement Learning with Graph Representation](https://openreview.net/pdf?id=97OvPgmjRN)

- [Amortized Active Causal Induction with Deep Reinforcement Learning](https://openreview.net/pdf?id=7AXY27kdNH)

- [Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning](https://openreview.net/pdf?id=6KDZHgrDhG)






## Graphs and Molecules

- [TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models](https://openreview.net/pdf?id=lBh5kuuY1L)

- [Conditional Synthesis of 3D Molecules with Time Correction Sampler](https://openreview.net/pdf?id=gipFTlvfF1)

- [Molecule Design by Latent Prompt Transformer](https://openreview.net/pdf?id=dg3tI3c2B1)

- [UniIF: Unified Molecule Inverse Folding](https://openreview.net/pdf?id=clqX9cVDKV)

- [QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation](https://openreview.net/pdf?id=RqvesBxqDo)

- [Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization](https://openreview.net/pdf?id=EWcvxXtzNu)

- [Score-based 3D molecule generation with neural fields](https://openreview.net/pdf?id=9lGJrkqJUw)

- [Molecule Generation with Fragment Retrieval Augmentation](https://openreview.net/pdf?id=56Q0qggDlp)

- [FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling](https://openreview.net/pdf?id=4AB54h21qG)

- [ProtGO: Function-Guided Protein Modeling for Unified Representation Learning](https://openreview.net/pdf?id=0oUutV92YF)

- [Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure](https://openreview.net/pdf?id=0e5uOaJxo1)






## **GFlowNets**

- [RGFN: Synthesizable Molecular Generation Using GFlowNets](https://openreview.net/pdf?id=hpvJwmzEHX)

- [Genetic-guided GFlowNets for Sample Efficient Molecular Optimization](https://openreview.net/pdf?id=B4q98aAZwt)






## Causal Discovery and Graphs

- [Causal Discovery from Event Sequences by Local Cause-Effect Attribution](https://openreview.net/pdf?id=y9zIRxshzj)

- [Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models](https://openreview.net/pdf?id=xnmm1jThkv)

- [Conditional Generative Models are Sufficient to Sample from Any Causal  Effect Estimand](https://openreview.net/pdf?id=vymkuBMLlh)

- [Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits](https://openreview.net/pdf?id=uM3rQ14iex)

- [Disentangled Representation Learning in Non-Markovian Causal Systems](https://openreview.net/pdf?id=uLGyoBn7hm)

- [On Causal Discovery in the Presence of Deterministic Relations](https://openreview.net/pdf?id=pfvcsgFrJ6)

- [Learning the Latent Causal Structure for Modeling Label Noise](https://openreview.net/pdf?id=nJKfNiEBvq)

- [A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences](https://openreview.net/pdf?id=mP084aMFsd)

- [Interventional Causal Discovery in a Mixture of DAGs](https://openreview.net/pdf?id=mFrlCI8sov)

- [Identifying General Mechanism Shifts in Linear Causal Representations](https://openreview.net/pdf?id=jWaXhCYTV1)

- [Causal Effect Identification in a Sub-Population with Latent Variables](https://openreview.net/pdf?id=iEsyRsg6t1)

- [Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity](https://openreview.net/pdf?id=dB99jjwx3h)

- [Causal discovery with endogenous context variables](https://openreview.net/pdf?id=cU8d7LeOyx)

- [On the Complexity of Identification in Linear Structural Causal Models](https://openreview.net/pdf?id=bNDwOoxj6W)

- [Learning Mixtures of Unknown Causal Interventions](https://openreview.net/pdf?id=aC9mB1PqYJ)

- [Sample Complexity of Interventional Causal Representation Learning](https://openreview.net/pdf?id=XL9aaXl0u6)

- [Sample Efficient Bayesian Learning of Causal Graphs from Interventions](https://openreview.net/pdf?id=RfSvAom7sS)

- [Linear Causal Bandits: Unknown Graph and Soft Interventions](https://openreview.net/pdf?id=PAu0W5YAKC)

- [Identifying Causal Effects Under Functional Dependencies](https://openreview.net/pdf?id=OIsUWQSvkD)

- [A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs](https://openreview.net/pdf?id=NhyDfZXjQX)

- [Consistency of Neural Causal Partial Identification](https://openreview.net/pdf?id=GEbnPxD9EF)

- [On the Parameter Identifiability of Partially Observed Linear Causal Models](https://openreview.net/pdf?id=EQZlEfjrkV)

- [QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs](https://openreview.net/pdf?id=BptJGaPn9C)

- [Amortized Active Causal Induction with Deep Reinforcement Learning](https://openreview.net/pdf?id=7AXY27kdNH)

- [Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference](https://openreview.net/pdf?id=6gIcnPvw2x)

- [CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction](https://openreview.net/pdf?id=5BXXoJh0Vr)






## Federated Learning, Privacy, Decentralization

- [FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction](https://openreview.net/pdf?id=zBMKodNgKX)

- [FedGMark: Certifiably Robust Watermarking for Federated Graph Learning](https://openreview.net/pdf?id=xeviQPXTMU)

- [Federated Graph Learning for Cross-Domain Recommendation](https://openreview.net/pdf?id=UBpPOqrBKE)

- [FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference](https://openreview.net/pdf?id=I96GFYalFO)

- [Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning](https://openreview.net/pdf?id=DUFD6vsyF8)

- [On provable privacy vulnerabilities of graph representations](https://openreview.net/pdf?id=LSqDcfX3xU)






## Scene Graphs

- [Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation](https://openreview.net/pdf?id=zGN0YWy2he)

- [Scene Graph Generation with Role-Playing Large Language Models](https://openreview.net/pdf?id=xpRUi8amtC)

- [SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation](https://openreview.net/pdf?id=HmCmxbCpp2)

- [Adaptive Visual Scene Understanding: Incremental Scene Graph Generation](https://openreview.net/pdf?id=6lwKOvL3KN)

- [Multiview Scene Graph](https://openreview.net/pdf?id=1ELFGSNBGC)






## Graphs, GNNs and Efficiency

- [Cost-efficient Knowledge-based Question Answering with Large Language Models](https://openreview.net/pdf?id=pje1Y71jad)

- [An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning](https://openreview.net/pdf?id=dqdffX3BS5)

- [Sample Efficient Bayesian Learning of Causal Graphs from Interventions](https://openreview.net/pdf?id=RfSvAom7sS)

- [Efficient Policy Evaluation Across Multiple Different Experimental Datasets](https://openreview.net/pdf?id=PSubtZAitM)

- [Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach](https://openreview.net/pdf?id=Luxk3z1tSG)

- [Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators](https://openreview.net/pdf?id=J2wI2rCG2u)

- [Efficient Streaming Algorithms for Graphlet Sampling](https://openreview.net/pdf?id=EC9Hfi9V3k)

- [Genetic-guided GFlowNets for Sample Efficient Molecular Optimization](https://openreview.net/pdf?id=B4q98aAZwt)

- [Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction](https://openreview.net/pdf?id=859DtlwnAD)

- [Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust](https://openreview.net/pdf?id=4NQ24cHnOi)

- [ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses](https://openreview.net/pdf?id=3xHCaDdYcc)

- [Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images](https://openreview.net/pdf?id=2dfBpyqh0A)

- [GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning](https://openreview.net/pdf?id=O97BzlN9Wh)



# Others

- [Graph Edit Distance with General Costs Using Neural Set Divergence](https://openreview.net/pdf?id=u7JRmrGutT)

- [What Matters in Graph Class Incremental Learning? An Information Preservation Perspective](https://openreview.net/pdf?id=tJGX7tpGO8)

- [Generative Modelling of Structurally Constrained Graphs](https://openreview.net/pdf?id=A3hxp0EeNW)

- [Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level](https://openreview.net/pdf?id=oTzydUKWpq)

- [Boosting Graph Pooling with Persistent Homology](https://openreview.net/pdf?id=WcmqdY2AKu)

- [GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting](https://openreview.net/pdf?id=Ns0LQokxa5)

- [ARC: A Generalist Graph Anomaly Detector with In-Context Learning](https://openreview.net/pdf?id=IdIVfzjPK4)

- [Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images](https://openreview.net/pdf?id=tsIKrvexBd)

- [Road Network Representation Learning with the Third Law of  Geography](https://openreview.net/pdf?id=gPtiGRaVcE)

- [Bayesian Optimization of Functions over Node Subsets in Graphs](https://openreview.net/pdf?id=KxjGi1krBi)

- [IF-Font: Ideographic Description Sequence-Following Font Generation](https://openreview.net/pdf?id=ciwOcmo8CC)

- [Almost Surely Asymptotically Constant Graph Neural Networks](https://openreview.net/pdf?id=Dn68qdfTry)

- [Distributed-Order Fractional Graph Operating Network](https://openreview.net/pdf?id=kEQFjKqiqM)

- [DiGRAF: Diffeomorphic Graph-Adaptive Activation Function](https://openreview.net/pdf?id=ZZoW4Z3le4)

- [Generalizing CNNs to graphs with learnable neighborhood quantization](https://openreview.net/pdf?id=dYIqAZXQNV)

- [InstructG2I: Synthesizing Images from Multimodal Attributed Graphs](https://openreview.net/pdf?id=zWnW4zqkuM)

- [On the Scalability of GNNs for Molecular Graphs](https://openreview.net/pdf?id=klqhrq7fvB)

- [Spiking Graph Neural Network on Riemannian Manifolds](https://openreview.net/pdf?id=VKt0K3iOmO)

- [Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy](https://openreview.net/pdf?id=e2INndPINB)

- [DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ](https://openreview.net/pdf?id=bcVLFQCOjc)

- [Idiographic Personality Gaussian Process for Psychological Assessment](https://openreview.net/pdf?id=Twqa0GFMGX)

- [What do Graph Neural Networks learn? Insights from Tropical Geometry](https://openreview.net/pdf?id=Oy2x0Xfx0u)

- [Accelerating Non-Maximum Suppression: A Graph Theory Perspective](https://openreview.net/pdf?id=0lau89u4oE)

- [Cryptographic Hardness of Score Estimation](https://openreview.net/pdf?id=URQXbwM0Md)

- [Graph Neural Networks and Arithmetic Circuits](https://openreview.net/pdf?id=0ZeONp33f0)

- [Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs](https://openreview.net/pdf?id=ncqauwSyl5)

- [Probabilistic Graph Rewiring via Virtual Nodes](https://openreview.net/pdf?id=LpvSHL9lcK)

- [Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification](https://openreview.net/pdf?id=AF32GbuupC)

- [SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision](https://openreview.net/pdf?id=Ad3PzTuqIq)

- [Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos](https://openreview.net/pdf?id=2HvgvB4aWq)

- [Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks](https://openreview.net/pdf?id=dg0hO4M11K)

- [Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism](https://openreview.net/pdf?id=He2GCHeRML)

- [UniGAD: Unifying Multi-level Graph Anomaly Detection](https://openreview.net/pdf?id=sRILMnkkQd)

- [GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction](https://openreview.net/pdf?id=zn6s6VQYb0)

- [Visual Data Diagnosis and Debiasing with Concept Graphs](https://openreview.net/pdf?id=XNGsx3WCU9)

- [Deep Graph Mating](https://openreview.net/pdf?id=m4NI2yIwJA)

- [Energy-based Epistemic Uncertainty for Graph Neural Networks](https://openreview.net/pdf?id=6vNPPtWH1Q)

- [Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion](https://openreview.net/pdf?id=qwl3EiDi9r)

- [Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba](https://openreview.net/pdf?id=pCJ0l1JVUX)

- [Similarity-Navigated Conformal Prediction for Graph Neural Networks](https://openreview.net/pdf?id=iBZSOh027z)

- [Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits](https://openreview.net/pdf?id=7flSQgZ4RT)

- [Graph Classification via Reference Distribution Learning: Theory and Practice](https://openreview.net/pdf?id=1zVinhehks)

- [Continuous Product Graph Neural Networks](https://openreview.net/pdf?id=XRNN9i1xpi)

- [Uncovering the Redundancy in Graph Self-supervised Learning Models](https://openreview.net/pdf?id=7Ntft3U7jj)

- [Logical characterizations of recurrent graph neural networks with reals and floats](https://openreview.net/pdf?id=atDcnWqG5n)

- [Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series](https://openreview.net/pdf?id=tFB5SsabVb)

- [DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks](https://openreview.net/pdf?id=CDe2zBPioj)

- [DistrictNet: Decision-aware learning for geographical districting](https://openreview.net/pdf?id=njwYBFau8E)

- [Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections](https://openreview.net/pdf?id=LuqrIkGuru)

- [Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks](https://openreview.net/pdf?id=wTIzpqX121)

- [Unitary Convolutions for Learning on Graphs and Groups](https://openreview.net/pdf?id=lG1VEQJvUH)

- [GRANOLA: Adaptive Normalization for Graph Neural Networks](https://openreview.net/pdf?id=qd8blc0o0F)

- [Mind the Graph When Balancing Data for Fairness or Robustness](https://openreview.net/pdf?id=LQR22jM5l3)

- [Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention](https://openreview.net/pdf?id=3ADBiWNUBb)

- [Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network](https://openreview.net/pdf?id=Y1edWJH9qB)

- [Analysis of Corrected Graph Convolutions](https://openreview.net/pdf?id=MSsQDWUWpd)

- [GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning](https://openreview.net/pdf?id=SaodQ13jga)

- [Microstructures and Accuracy of Graph Recall by Large Language Models](https://openreview.net/pdf?id=tNhwg9U767)

- [Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior](https://openreview.net/pdf?id=a3cauWMXNV)

- [Continuous Partitioning for Graph-Based Semi-Supervised Learning](https://openreview.net/pdf?id=hCOuip5Ona)

- [On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models](https://openreview.net/pdf?id=KcmhSrHzJB)

- [What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks](https://openreview.net/pdf?id=GmdGEF8xxU)

- [Gradient Rewiring for Editable Graph Neural Network Training](https://openreview.net/pdf?id=XY2qrq7cXM)

- [Graph Learning for Numeric Planning](https://openreview.net/pdf?id=Wxc6KvQgLq)

- [Towards Harmless Rawlsian Fairness Regardless of Demographic Prior](https://openreview.net/pdf?id=7U5MwUS3Rw)

- [DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment](https://openreview.net/pdf?id=hKVTwQQu76)

- [Dissecting the Failure of Invariant Learning on Graphs](https://openreview.net/pdf?id=7eFS8aZHAM)

- [Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach](https://openreview.net/pdf?id=FXdMgfCDer)

- [Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem](https://openreview.net/pdf?id=4NGlu45uyt)

- [Spatio-Spectral Graph Neural Networks](https://openreview.net/pdf?id=Cb3kcwYBgw)

- [Motion Graph Unleashed: A Novel Approach to Video Prediction](https://openreview.net/pdf?id=4ztP4PujOG)

- [Bridge the Points: Graph-based Few-shot Segment Anything Semantically](https://openreview.net/pdf?id=jYypS5VIPj)

- [Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module](https://openreview.net/pdf?id=VywZsAGhp0)

- [RAGraph: A General Retrieval-Augmented Graph Learning Framework](https://openreview.net/pdf?id=Dzk2cRUFMt)

- [Learning on Large Graphs using Intersecting Communities](https://openreview.net/pdf?id=pGR5X4e1gy)

- [DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph](https://openreview.net/pdf?id=5IFeCNA7zR)

- [UGC: Universal Graph Coarsening](https://openreview.net/pdf?id=nN6NSd1Qds)

- [Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks](https://openreview.net/pdf?id=1mAaewThcz)

- [LLaMo: Large Language Model-based Molecular Graph Assistant](https://openreview.net/pdf?id=WKTNdU155n)

- [Are Graph Neural Networks Optimal Approximation Algorithms?](https://openreview.net/pdf?id=SxRblm9aMs)

- [Spectral Graph Pruning Against Over-Squashing and Over-Smoothing](https://openreview.net/pdf?id=EMkrwJY2de)

- [The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks](https://openreview.net/pdf?id=aFWx1N84Fe)

- [Graph Coarsening with Message-Passing Guarantees](https://openreview.net/pdf?id=rIOTceoNc8)

- [CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search](https://openreview.net/pdf?id=ohvXBIPV7e)

- [Dynamic Rescaling for Training GNNs](https://openreview.net/pdf?id=IfZwSRpqHl)

- [An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval](https://openreview.net/pdf?id=Q4QUCN2ioc)

- [EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics](https://openreview.net/pdf?id=js5vZtyoIQ)

- [Robust Offline Active Learning on Graphs](https://openreview.net/pdf?id=MDsl1ifiNS)

- [Active design of two-photon holographic stimulation for identifying neural population dynamics](https://openreview.net/pdf?id=nLQeE8QGGe)

- [Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs](https://openreview.net/pdf?id=gSGLkCX9sc)

- [G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://openreview.net/pdf?id=MPJ3oXtTZl)

- [The Intelligible and Effective Graph Neural Additive Network](https://openreview.net/pdf?id=SKY1ScUTwA)

- [DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation](https://openreview.net/pdf?id=GMsi9966DR)

- [A Structure-Aware Framework for Learning Device Placements on Computation Graphs](https://openreview.net/pdf?id=Kzno1r3Xef)

- [Fairness-Aware Estimation of Graphical Models](https://openreview.net/pdf?id=WvWS8goWyR)

- [HGDL: Heterogeneous Graph Label Distribution Learning](https://openreview.net/pdf?id=OwguhIAh8R)

- [A Topology-aware Graph Coarsening Framework for Continual Graph Learning](https://openreview.net/pdf?id=VpINEEVLX0)

- [Robust Graph Neural Networks via Unbiased Aggregation](https://openreview.net/pdf?id=dz6ex9Ee0Q)

- [Challenges of Generating Structurally Diverse Graphs](https://openreview.net/pdf?id=bbGPoL1NLo)

- [Mixture of Link Predictors on Graphs](https://openreview.net/pdf?id=X3oeoyJlMw)

- [Regression under demographic parity constraints via unlabeled post-processing](https://openreview.net/pdf?id=UtbjD5LGnC)

- [Graph neural networks and non-commuting operators](https://openreview.net/pdf?id=6aJrEC28hR)

- [Graph-based Uncertainty Metrics for Long-form Language Model Generations](https://openreview.net/pdf?id=YgJPQW0lkO)

- [Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution](https://openreview.net/pdf?id=55zLbH7dE1)

- [Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation](https://openreview.net/pdf?id=FzwAQJK4CG)

- [Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction](https://openreview.net/pdf?id=crlvDzDPgM)

- [GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning](https://openreview.net/pdf?id=O97BzlN9Wh)

- [FUGAL: Feature-fortified Unrestricted Graph Alignment](https://openreview.net/pdf?id=SdLOs1FR4h)

- [Graphcode: Learning from multiparameter persistent homology using graph neural networks](https://openreview.net/pdf?id=O23XfTnhWR)

- [Stochastic contextual bandits with graph feedback: from independence number to MAS number](https://openreview.net/pdf?id=t8iosEWoyd)

- [Generative Semi-supervised Graph Anomaly Detection](https://openreview.net/pdf?id=zqLAMwVLkt)

- [GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs](https://openreview.net/pdf?id=hW5QWiCctl)

- [Non-convolutional graph neural networks.](https://openreview.net/pdf?id=JDAQwysFOc)

- [Linear Uncertainty Quantification of Graphical Model Inference](https://openreview.net/pdf?id=XOVks7JHQA)

- [Graph Neural Networks Do Not Always Oversmooth](https://openreview.net/pdf?id=nY7fGtsspU)

- [Schur Nets: exploiting local structure for equivariance in higher order graph neural networks](https://openreview.net/pdf?id=HRnSVflpgt)






## More Possible Works

*(Needs Verification Yet)*



- [Markov Equivalence and Consistency in Differentiable Structure Learning](https://openreview.net/pdf?id=TMlGQw7EbC)

- [SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models](https://openreview.net/pdf?id=JKEIYQUSUc)

- [On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models](https://openreview.net/pdf?id=kLen1XyW6P)

- [Domain Adaptation for Large-Vocabulary Object Detectors](https://openreview.net/pdf?id=deZpmEfmTo)

- [Tackling Uncertain Correspondences for Multi-Modal Entity Alignment](https://openreview.net/pdf?id=IAse6CAG26)

- [Learning rigid-body simulators over implicit shapes for large-scale scenes and vision](https://openreview.net/pdf?id=QDYts5dYgq)

- [Combining Observational Data and Language for Species Range Estimation](https://openreview.net/pdf?id=IOKLUxB05h)

- [GS-Hider: Hiding Messages into 3D Gaussian Splatting](https://openreview.net/pdf?id=3XLQp2Xx3J)

- [Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models](https://openreview.net/pdf?id=ANO1i9JPtb)

- [Instance-Optimal Private Density Estimation in the Wasserstein Distance](https://openreview.net/pdf?id=Apq6corvfZ)

- [DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering](https://openreview.net/pdf?id=mY0ZnS2s9u)

- [Evaluating the World Model Implicit in a Generative Model](https://openreview.net/pdf?id=aVK4JFpegy)

- [Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search](https://openreview.net/pdf?id=LJNqVIKSCr)

- [Fair Wasserstein Coresets](https://openreview.net/pdf?id=ylceJ2xIw5)

- [Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text](https://openreview.net/pdf?id=08A6X7FSTs)

- [Delving into the Reversal Curse: How Far Can Large Language Models Generalize?](https://openreview.net/pdf?id=1wxFznQWhp)

- [DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation](https://openreview.net/pdf?id=6ZwJSk2kvU)

- [Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation](https://openreview.net/pdf?id=LtS7pP8rEn)

- [EGonc : Energy-based Open-Set Node Classification with substitute Unknowns](https://openreview.net/pdf?id=3cL2XDyaEB)

- [Practical Shuffle Coding](https://openreview.net/pdf?id=m2DaXpCoIi)

- [Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation](https://openreview.net/pdf?id=gW0znG5JCG)

- [Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm](https://openreview.net/pdf?id=dxwIaCVkWU)

- [Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting](https://openreview.net/pdf?id=XZp1uP0hh2)

- [Divergences between Language Models and Human Brains](https://openreview.net/pdf?id=DpP5F3UfKw)

- [Expected Probabilistic Hierarchies](https://openreview.net/pdf?id=fMdrBucZnj)

- [If You Want to Be Robust, Be Wary of Initialization](https://openreview.net/pdf?id=nxumYwxJPB)

- [Accelerating ERM for data-driven algorithm design using output-sensitive techniques](https://openreview.net/pdf?id=yW3tlSwusb)

- [Towards Flexible Visual Relationship Segmentation](https://openreview.net/pdf?id=kJkp2ECJT7)

- [MKGL: Mastery of a Three-Word Language](https://openreview.net/pdf?id=eqMNwXvOqn)

- [GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction](https://openreview.net/pdf?id=r6V7EjANUK)

- [Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials](https://openreview.net/pdf?id=88rbNOtAez)

- [Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification](https://openreview.net/pdf?id=4Lkzghiep1)

- [Non-Euclidean Mixture Model for Social Network Embedding](https://openreview.net/pdf?id=nuZv2iTlvn)

- [EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals](https://openreview.net/pdf?id=RfsfRn9OFd)

- [PageRank Bandits for Link Prediction](https://openreview.net/pdf?id=VSz9na5Jtl)

- [Deep Homomorphism Networks](https://openreview.net/pdf?id=KXUijdMFdG)

- [HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation](https://openreview.net/pdf?id=njvPjG0BfK)

- [Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures](https://openreview.net/pdf?id=347aDObXEa)

- [Sequential Harmful Shift Detection Without Labels](https://openreview.net/pdf?id=jps9KkuSD3)

- [Dynamic 3D Gaussian Fields for Urban Areas](https://openreview.net/pdf?id=xZxXNhndXU)

- [Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way](https://openreview.net/pdf?id=p43ObIwJFW)

- [Amortized Eigendecomposition for Neural Networks](https://openreview.net/pdf?id=OYOkkqRLvj)

- [Transferable Boltzmann Generators](https://openreview.net/pdf?id=AYq6GxxrrY)

- [Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation](https://openreview.net/pdf?id=QI1ScdeQjp)

- [UniAR: A Unified model for predicting human Attention and Responses on visual content](https://openreview.net/pdf?id=FjssnGuHih)

- [Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits](https://openreview.net/pdf?id=Ke40kfOT2E)

- [Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models](https://openreview.net/pdf?id=GNSMl1P5VR)

- [Deep Equilibrium Algorithmic Reasoning](https://openreview.net/pdf?id=SuLxkxCENa)

- [Semantic Routing via Autoregressive Modeling](https://openreview.net/pdf?id=JvlrUFJMbI)

- [Learning Representations for Hierarchies with Minimal Support](https://openreview.net/pdf?id=HFS800reZK)

- [From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos](https://openreview.net/pdf?id=otxOtsWCMb)

- [DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection](https://openreview.net/pdf?id=mlmTxJwVsb)

- [Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections](https://openreview.net/pdf?id=ChnJ3W4HFG)

- [Hardness of Learning Neural Networks under the Manifold Hypothesis](https://openreview.net/pdf?id=dkkgKzMni7)

- [TopoFR: A Closer Look at Topology Alignment on Face Recognition](https://openreview.net/pdf?id=KVAx5tys2p)

- [IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors](https://openreview.net/pdf?id=0SRJBtTNhX)

- [Neural decoding from stereotactic EEG: accounting for electrode variability across subjects](https://openreview.net/pdf?id=LR1nnsD7H0)

- [UniMTS: Unified Pre-training for Motion Time Series](https://openreview.net/pdf?id=DpByqSbdhI)

- [HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://openreview.net/pdf?id=hkujvAPVsg)

- [eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling](https://openreview.net/pdf?id=Ln8ogihZ2S)

- [Breaking the curse of dimensionality in structured density estimation](https://openreview.net/pdf?id=dWwin2uGYE)

- [Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)](https://openreview.net/pdf?id=S4YRCLbUK1)

- [GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent](https://openreview.net/pdf?id=m1PVjNHvtP)

- [The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More](https://openreview.net/pdf?id=f70e6YYFHF)

- [Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image](https://openreview.net/pdf?id=YOUh3lgRYI)

- [Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective](https://openreview.net/pdf?id=4jn7KWPHSD)

- [On Differentially Private U Statistics](https://openreview.net/pdf?id=zApFYcLg6K)

- [Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding](https://openreview.net/pdf?id=u5enPCwaLt)

- [Generative Hierarchical Materials Search](https://openreview.net/pdf?id=PsPR4NOiRC)

- [ChatCam: Empowering Camera Control through Conversational AI](https://openreview.net/pdf?id=IxazPgGF8h)

- [Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models](https://openreview.net/pdf?id=KyVBzkConO)

- [Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling](https://openreview.net/pdf?id=8B3sAX889P)

- [Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals](https://openreview.net/pdf?id=uyLtEFnpQP)

- [Estimating Epistemic and Aleatoric Uncertainty with a Single Model](https://openreview.net/pdf?id=WPxa6OcIdg)

- [NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design](https://openreview.net/pdf?id=oEKFPSOWpp)

- [Consensus Learning with Deep Sets for Essential Matrix Estimation](https://openreview.net/pdf?id=6sIOBDwr6d)

- [Towards Effective Planning Strategies for Dynamic Opinion Networks](https://openreview.net/pdf?id=LYivxMp5es)

- [Learning Low-Rank Feature for Thorax Disease Classification](https://openreview.net/pdf?id=GkzrVxs9LS)

- [Smoothie: Label Free Language Model Routing](https://openreview.net/pdf?id=pPSWHsgqRp)

- [SpeAr: A Spectral Approach for Zero-Shot Node Classification](https://openreview.net/pdf?id=eU87jJyEK5)

- [A robust inlier identification algorithm for point cloud registration via $\\mathbf{\\ell_0}$-minimization](https://openreview.net/pdf?id=BJrBaLoDRJ)

- [Metric Space Magnitude for Evaluating the Diversity of Latent Representations](https://openreview.net/pdf?id=glgZZAfssH)

- [The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains](https://openreview.net/pdf?id=Y4mBaZu4vy)

- [Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations](https://openreview.net/pdf?id=FwxOHl0BEl)

- [Transfer Learning for Latent Variable Network Models](https://openreview.net/pdf?id=PK8xOCBQRO)

- [Testing Calibration in Nearly-Linear Time](https://openreview.net/pdf?id=01XV5Za56k)

- [Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling](https://openreview.net/pdf?id=JxlQ2pbyzS)

- [Relational Concept Bottleneck Models](https://openreview.net/pdf?id=G99BSV9pt5)

- [Navigating Chemical Space with Latent Flows](https://openreview.net/pdf?id=aAaV4ZbQ9j)

- [Post-Hoc Reversal: Are We Selecting Models Prematurely?](https://openreview.net/pdf?id=3R7Go6WkDm)

- [Geodesic Optimization for Predictive Shift Adaptation on EEG data](https://openreview.net/pdf?id=qTypwXvNJa)

- [Neural Pfaffians: Solving Many Many-Electron Schrodinger Equations](https://openreview.net/pdf?id=HRkniCWM3E)

- [Differentiable Structure Learning with Partial Orders](https://openreview.net/pdf?id=B2cTLakrhV)

- [Taming the Long Tail in Human Mobility Prediction](https://openreview.net/pdf?id=wT2TIfHKp8)

- [CLIP in Mirror: Disentangling text from visual images through reflection](https://openreview.net/pdf?id=FYm8coxdiR)

- [Multilingual Diversity Improves Vision-Language Representations](https://openreview.net/pdf?id=1WtEqReCyS)

- [Expert-level protocol translation for self-driving labs](https://openreview.net/pdf?id=qXidsICaja)

- [G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models](https://openreview.net/pdf?id=21tn63ee15)

- [Learning Discrete Concepts in Latent Hierarchical Models](https://openreview.net/pdf?id=bO5bUxvH6m)

- [MeMo: Meaningful, Modular Controllers via Noise Injection](https://openreview.net/pdf?id=5DJBBACqim)

- [Edit Distance Robust Watermarks via Indexing Pseudorandom Codes](https://openreview.net/pdf?id=FZ45kf5pIA)

- [Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections](https://openreview.net/pdf?id=Ss7l98DVvD)

- [Generative Forests](https://openreview.net/pdf?id=cRlQHncjwT)

- [bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction](https://openreview.net/pdf?id=HtlfNbyfOn)

- [Inversion-based Latent Bayesian Optimization](https://openreview.net/pdf?id=TrN5TcWY87)

- [ST$_k$: A Scalable Module for Solving Top-k Problems](https://openreview.net/pdf?id=OdJKB9jSa5)

- [DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering](https://openreview.net/pdf?id=2nvkD0sPOk)

- [Counterfactual Fairness by Combining Factual and Counterfactual Predictions](https://openreview.net/pdf?id=J0Itri0UiN)

- [AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation](https://openreview.net/pdf?id=ekK26cW5TB)

- [Iterative Methods via Locally Evolving Set Process](https://openreview.net/pdf?id=wT2KhEb97a)

- [Can Models Learn Skill Composition from Examples?](https://openreview.net/pdf?id=1sLdprsbmk)

- [Exponential Quantum Communication Advantage in Distributed Inference and Learning](https://openreview.net/pdf?id=gGR9dJbe3r)

- [DeiSAM: Segment Anything with Deictic Prompting](https://openreview.net/pdf?id=cmSNX47aEH)

- [Group Robust Preference Optimization in Reward-free RLHF](https://openreview.net/pdf?id=PRAsjrmXXK)

- [Harnessing Multiple Correlated Networks for Exact Community Recovery](https://openreview.net/pdf?id=7Fzx3Akdt5)

- [Why the Metric Backbone Preserves Community Structure](https://openreview.net/pdf?id=Kx8I0rP7w2)

- [MambaTree: Tree Topology is All You Need in State Space Model](https://openreview.net/pdf?id=W8rFsaKr4m)

- [On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization](https://openreview.net/pdf?id=IXRa8adMHX)

- [Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation](https://openreview.net/pdf?id=18FGRNd0wZ)

- [Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces](https://openreview.net/pdf?id=wAqdvcK1Fv)

- [Information Re-Organization Improves Reasoning in Large Language Models](https://openreview.net/pdf?id=SciWuYPNG0)

- [Qualitative Mechanism Independence](https://openreview.net/pdf?id=RE5LSV8QYH)

- [Persistent Homology for High-dimensional Data Based on Spectral Methods](https://openreview.net/pdf?id=ARV1gJSOzV)

- [Fairness without Harm: An Influence-Guided Active Sampling Approach](https://openreview.net/pdf?id=YYJojVBCcd)

- [Extracting Training Data from Molecular Pre-trained Models](https://openreview.net/pdf?id=cV4fcjcwmz)

- [Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases](https://openreview.net/pdf?id=AWFryOJaGi)

- [LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes](https://openreview.net/pdf?id=CcmHlE6N6u)

- [On the Computational Landscape of Replicable Learning](https://openreview.net/pdf?id=1PCsDNG6Jg)

- [What type of inference is planning?](https://openreview.net/pdf?id=TXsRGrzICz)

- [Shape analysis for time series](https://openreview.net/pdf?id=JM0IQSliol)

- [realSEUDO for real-time calcium imaging analysis](https://openreview.net/pdf?id=Ye0O4Nyn21)

- [Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering](https://openreview.net/pdf?id=kngLs5H6l1)

- [DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM](https://openreview.net/pdf?id=u1mNGLYN74)

- [Exploring Molecular Pretraining Model at Scale](https://openreview.net/pdf?id=64V40K2fDv)

- [FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing](https://openreview.net/pdf?id=qrfp4eeZ47)

- [Entity Alignment with Noisy Annotations from Large Language Models](https://openreview.net/pdf?id=qfCQ54ZTX1)

- [End-to-End Ontology Learning with Large Language Models](https://openreview.net/pdf?id=UqvEHAnCJC)

- [Questioning the Survey Responses of Large Language Models](https://openreview.net/pdf?id=Oo7dlLgqQX)

- [Mixture of neural fields for heterogeneous reconstruction in cryo-EM](https://openreview.net/pdf?id=TuspoNzIdB)

- [TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing](https://openreview.net/pdf?id=YjZ6fQAvT7)

- [SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network](https://openreview.net/pdf?id=GYqs5Z4joA)

- [Latent Intrinsics Emerge from Training to Relight](https://openreview.net/pdf?id=ltnDg0EzF9)

- [Fractal Patterns May Illuminate the Success of Next-Token Prediction](https://openreview.net/pdf?id=clAFYReaYE)

- [Large language model validity via enhanced conformal prediction methods](https://openreview.net/pdf?id=JD3NYpeQ3R)

- [Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting](https://openreview.net/pdf?id=EwWpAPzcay)



---



**Missing any paper?**

If any paper is absent from the list, please feel free to [mail](mailto:[email protected]) or [open an issue](https://github.com/azminewasi/Awesome-Graph-Research-NeurIPS2024/issues/new/choose) or submit a pull request. I'll gladly add that! Also, If I mis-categorized, please knock!



---



## More Collectons:

- [Awesome **NeurIPS'24** ***Molecular ML*** Paper Collection](https://github.com/azminewasi/Awesome-MoML-NeurIPS24)

- [**Awesome ICML 2024 Graph Paper Collection**](https://github.com/azminewasi/Awesome-Graph-Research-ICML2024)

- [**Awesome ICLR 2024 Graph Paper Collection**](https://github.com/azminewasi/Awesome-Graph-Research-ICLR2024)

- [**Awesome-LLMs-ICLR-24**](https://github.com/azminewasi/Awesome-LLMs-ICLR-24/)



---



## ✨ **Credits**

**Azmine Toushik Wasi**



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