Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.
Awesome Lists | Featured Topics | Projects
https://github.com/xiaoxinhe/neurips2023_learning_on_graphs

List of papers on NeurIPS2023
https://github.com/xiaoxinhe/neurips2023_learning_on_graphs
Last synced: 8 days ago
JSON representation
List of papers on NeurIPS2023
Host: GitHub
URL: https://github.com/xiaoxinhe/neurips2023_learning_on_graphs
Owner: XiaoxinHe
Created: 2023-11-14T03:26:04.000Z (about 1 year ago)
Default Branch: master
Last Pushed: 2023-11-14T03:48:00.000Z (about 1 year ago)
Last Synced: 2023-11-14T05:32:03.059Z (about 1 year ago)
Language: Python
Homepage:
Size: 289 KB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
Awesome Lists containing this project

README

        # [NeurIPS2023] Learning on Graphs

| Title    | OpenReview | Authors |

| -------- | ------- | ------- |

| Generative Pre-Training of Spatio-Temporal Graph Neural Networks | [here](https://openreview.net/forum?id=nMH5cUaSj8) | Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang |

| Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing | [here](https://openreview.net/forum?id=0eXniewIvr) | Jung Yeon Park, Lawson Wong, Robin Walters |

| Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data | [here](https://openreview.net/forum?id=XkcufOcgUc) | Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan |

| Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment | [here](https://openreview.net/forum?id=17Zkztjlgt) | Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann |

| Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT | [here](https://openreview.net/forum?id=zr1e15kczE) | Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He |

| Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs | [here](https://openreview.net/forum?id=Kd5W4JRsfV) | Muhammed Fatih Balin, Ümit Çatalyürek |

| Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points | [here](https://openreview.net/forum?id=9yhYcjsdab) | Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas, Mircea Petrache, Pablo Barceló |

| GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels | [here](https://openreview.net/forum?id=ihlT8yvQ2I) | Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan |

| Can Language Models Solve Graph Problems in Natural Language? | [here](https://openreview.net/forum?id=UDqHhbqYJV) | Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov |

| Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem | [here](https://openreview.net/forum?id=TQlpqmCeMe) | Tal Amir, Steven Gortler, Ilai Avni, Ravina Ravina, Nadav Dym |

| AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity | [here](https://openreview.net/forum?id=7ntI4kcoqG) | Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn, Eli Shlizerman |

| HyTrel: Hypergraph-enhanced  Tabular Data Representation Learning | [here](https://openreview.net/forum?id=7vqlzODS28) | Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis |

| Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network | [here](https://openreview.net/forum?id=28RTu9MOT6) | Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu |

| Does Graph Distillation See Like Vision Dataset Counterpart? | [here](https://openreview.net/forum?id=VqIWgUVsXc) | Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li |

| How to Turn Your Knowledge Graph Embeddings into Generative Models | [here](https://openreview.net/forum?id=RSGNGiB1q4) | Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari |

| AutoGO: Automated Computation Graph Optimization for Neural Network Evolution | [here](https://openreview.net/forum?id=lDI3ZuyzM9) | Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, CHUNHUA ZHOU, Fengyu Sun, Di Niu |

| LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching | [here](https://openreview.net/forum?id=xE7oH5iVGK) | Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan Ngoc Pham, Tri Cao, Binh Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert |

| Optimality of Message-Passing Architectures for Sparse Graphs | [here](https://openreview.net/forum?id=d1knqWjmNt) | Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath |

| LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings | [here](https://openreview.net/forum?id=7zkFc9TGKz) | Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi |

| A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking | [here](https://openreview.net/forum?id=m2mbfoSuJ1) | Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang |

| Universal Prompt Tuning for Graph Neural Networks | [here](https://openreview.net/forum?id=0LmWBhIYLi) | Taoran Fang, Yunchao Zhang, YANG YANG, Chunping Wang, Lei Chen |

| PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis | [here](https://openreview.net/forum?id=3jAsfo8x8k) | Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari |

| Fair Graph Distillation | [here](https://openreview.net/forum?id=xW0ayZxPWs) | Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu |

| D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion | [here](https://openreview.net/forum?id=GJtP1ZEzua) | Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying |

| SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations | [here](https://openreview.net/forum?id=kBBsj9KRgh) | Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu |

| Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications | [here](https://openreview.net/forum?id=uqkUguNu40) | Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu |

| TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery | [here](https://openreview.net/forum?id=6OOgw4boZI) | Jialin Chen, Rex Ying |

| Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization | [here](https://openreview.net/forum?id=n8JWIzYPRz) | Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li |

| Expressivity-Preserving GNN Simulation | [here](https://openreview.net/forum?id=ytTfonl9Wd) | Fabian Jogl, Maximilian Thiessen, Thomas Gärtner |

| Practical Contextual Bandits with Feedback Graphs | [here](https://openreview.net/forum?id=l6pYRbuHpO) | Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro |

| Let the Flows Tell:  Solving Graph Combinatorial Problems with GFlowNets | [here](https://openreview.net/forum?id=sTjW3JHs2V) | Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan |

| MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data | [here](https://openreview.net/forum?id=4UCktT9XZx) | Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao |

| Characterization and Learning of Causal Graphs with Small Conditioning Sets | [here](https://openreview.net/forum?id=cANkPsVtsw) | Murat Kocaoglu |

| GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search | [here](https://openreview.net/forum?id=cQdc9Dyk4i) | Xiao Zang, Miao Yin, Jinqi Xiao, Saman Zonouz, Bo Yuan |

| A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs | [here](https://openreview.net/forum?id=dAJrxQz1lk) | Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang |

| Uncertainty Quantification over Graph with Conformalized Graph Neural Networks | [here](https://openreview.net/forum?id=ygjQCOyNfh) | Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec |

| [Re] On Explainability of Graph Neural Networks via Subgraph Explorations | [here](https://openreview.net/forum?id=zKBJw4Ht8s) | Yannik Mahlau, Lukas Berg, Leonie Kayser |

| NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics | [here](https://openreview.net/forum?id=MEa0cQeURw) | Anwar Said, Roza Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon Koutsoukos |

| WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding | [here](https://openreview.net/forum?id=ZrG8kTbt70) | Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang |

| Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion | [here](https://openreview.net/forum?id=j7x9wW3tCf) | Kunxun Qi, Jianfeng Du, Hai Wan |

| Deep Insights into Noisy Pseudo Labeling on Graph Data | [here](https://openreview.net/forum?id=XhNlBvb4XV) | Botao WANG, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung |

| Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data | [here](https://openreview.net/forum?id=gpyeRyc858) | Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song |

| On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data | [here](https://openreview.net/forum?id=vEzcRdiTkP) | Federico Errica |

| Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes | [here](https://openreview.net/forum?id=H57w5EOj6O) | Cai Zhou, Xiyuan Wang, Muhan Zhang |

| Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning | [here](https://openreview.net/forum?id=MYfqIVcQrp) | Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang |

| Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power | [here](https://openreview.net/forum?id=94rKFkcm56) | Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang |

| Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs | [here](https://openreview.net/forum?id=xSEhb2j3TK) | Peng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan |

| Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks | [here](https://openreview.net/forum?id=5Fr8Nwi5KF) | Xin Yan, Hui Fang, Qiang He |

| OpenGSL: A Comprehensive Benchmark for Graph Structure Learning | [here](https://openreview.net/forum?id=yXLyhKvK4D) | Zhou Zhiyao, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang |

| Accelerating Molecular Graph Neural Networks via Knowledge Distillation | [here](https://openreview.net/forum?id=A18PgVSUgf) | Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger |

| Approximately Equivariant Graph Networks | [here](https://openreview.net/forum?id=5aeyKAZr0L) | Ningyuan Huang, Ron Levie, Soledad Villar |

| (Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More | [here](https://openreview.net/forum?id=mLe63bAYc7) | Jan Schuchardt, Yan Scholten, Stephan Günnemann |

| Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond | [here](https://openreview.net/forum?id=m7PIJWOdlY) | Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova |

| Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions | [here](https://openreview.net/forum?id=GPtroppvUM) | Lukas Gosch, Simon Markus Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann |

| Graph Clustering with Graph Neural Networks | nan | Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller |

| A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning | [here](https://openreview.net/forum?id=ZITOHWeAy7) | Yiyou Sun, Zhenmei Shi, Yixuan Li |

| LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference | [here](https://openreview.net/forum?id=5loV5tVzsY) | Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding |

| Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction | [here](https://openreview.net/forum?id=RHDXkRPNQa) | Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen |

| Learning Efficient Surrogate Dynamic Models with Graph Spline Networks | [here](https://openreview.net/forum?id=MGPST5I9DO) | Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park |

| Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman | [here](https://openreview.net/forum?id=UlJcZoawgU) | Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen |

| MAG-GNN: Reinforcement Learning Boosted Graph Neural Network | [here](https://openreview.net/forum?id=K4FK7I8Jnl) | Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang |

| GALOPA: Graph Transport Learning with Optimal Plan Alignment | [here](https://openreview.net/forum?id=rzlqOVExUA) | Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li |

| UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction | [here](https://openreview.net/forum?id=u2cXRGm95Y) | Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong |

| Learning Nonparametric Latent Causal Graphs with Unknown Interventions | [here](https://openreview.net/forum?id=S8DFqgmEbe) | Yibo Jiang, Bryon Aragam |

| Learning Large Graph Property Prediction via Graph Segment Training | [here](https://openreview.net/forum?id=3YDukx2cpr) | Kaidi Cao, Mangpo Phothilimtha, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi |

| TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs | [here](https://openreview.net/forum?id=plAix1NxhU) | Mangpo Phothilimtha, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi |

| Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? | [here](https://openreview.net/forum?id=oef30oScVB) | Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang |

| Fine-grained Expressivity of Graph Neural Networks | [here](https://openreview.net/forum?id=jt10uWlEbc) | Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris |

| On the Minimax Regret for Online Learning with Feedback Graphs | [here](https://openreview.net/forum?id=XfYpIaKDb6) | Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi |

| Temporal Graph Benchmark for Machine Learning on Temporal Graphs | [here](https://openreview.net/forum?id=qG7IkQ7IBO) | Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany |

| Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis | [here](https://openreview.net/forum?id=UQ8pDKcXTq) | Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang |

| Evaluating Self-Supervised Learning for Molecular Graph Embeddings | [here](https://openreview.net/forum?id=pyhv4qYCEJ) | Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu |

| GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection | [here](https://openreview.net/forum?id=5HisVXnx0n) | Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos |

| GSLB: The Graph Structure Learning Benchmark | [here](https://openreview.net/forum?id=xT3i5GS3zU) | Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu |

| GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | [here](https://openreview.net/forum?id=U5uRXlLwnM) | Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li |

| DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization | [here](https://openreview.net/forum?id=JV8Ff0lgVV) | Zhiqing Sun, Yiming Yang |

| Generalised f-Mean Aggregation for Graph Neural Networks | [here](https://openreview.net/forum?id=JMrIeKjTAe) | Ryan Kortvelesy, Steven D Morad, Amanda Prorok |

| Towards Label Position Bias in Graph Neural Networks | [here](https://openreview.net/forum?id=IKjOMA8olL) | Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang |

| Faster approximate subgraph counts with privacy | [here](https://openreview.net/forum?id=Fqg9vGWy4k) | Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti |

| Does Invariant Graph Learning via Environment Augmentation Learn Invariance? | [here](https://openreview.net/forum?id=EqpR9Vtt13) | Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng |

| Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems | [here](https://openreview.net/forum?id=CnvZ7FIyAD) | Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen |

| Outlier-Robust Gromov-Wasserstein for Graph Data | [here](https://openreview.net/forum?id=BKAFLUcpBS) | Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So |

| Recurrent Temporal Revision Graph Networks | [here](https://openreview.net/forum?id=B3UDx1rNOy) | Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou |

| Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs | [here](https://openreview.net/forum?id=AtHJ7TLheF) | Yeyuan Chen, Dingmin Wang |

| A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs | [here](https://openreview.net/forum?id=7hLlZNrkt5) | Xingyue Huang, Miguel Romero, Ismail Ceylan, Pablo Barceló |

| Fragment-based Pretraining and Finetuning on Molecular Graphs | [here](https://openreview.net/forum?id=77Nq1KjmLl) | Kha-Dinh Luong, Ambuj K Singh |

| Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics | [here](https://openreview.net/forum?id=35nFSbEBks) | Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang |

| Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions | [here](https://openreview.net/forum?id=1zKRwh5Rl2) | Duligur Ibeling, Thomas Icard |

| Graph Contrastive Learning with Stable and Scalable Spectral Encoding | [here](https://openreview.net/forum?id=0kz5RmHxmE) | Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi |

| Graph Convolutional Kernel Machine versus Graph Convolutional Networks | [here](https://openreview.net/forum?id=SFfOt1oDsX) | Zhihao Wu, Zhao Zhang, Jicong Fan |

| Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection | [here](https://openreview.net/forum?id=dd3KNayGFz) | Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic |

| Latent Graph Inference with Limited Supervision | [here](https://openreview.net/forum?id=tGuMwFnRZX) | Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu |

| A Fractional Graph Laplacian Approach to Oversmoothing | [here](https://openreview.net/forum?id=kS7ED7eE74) | Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok |

| Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach | [here](https://openreview.net/forum?id=SHVwG9yOEk) | Nurendra Choudhary, Nikhil Rao, Chandan Reddy |

| Transfer learning for atomistic simulations using GNNs and kernel mean embeddings | [here](https://openreview.net/forum?id=Enzew8XujO) | John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil |

| Data-Centric Learning from Unlabeled Graphs with Diffusion Model | [here](https://openreview.net/forum?id=DmakwvCJ7l) | Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang |

| Zero-One Laws of Graph Neural Networks | [here](https://openreview.net/forum?id=DGmxTUCHYs) | Sam Adam-Day, Iliant, Ismail Ceylan |

| CAT-Walk: Inductive Hypergraph Learning via Set Walks | [here](https://openreview.net/forum?id=QG4nJBNEar) | Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer |

| Bayesian Optimisation of Functions on Graphs | [here](https://openreview.net/forum?id=UuNd9A6noD) | Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A Osborne, Xiaowen Dong |

| Affinity-Aware Graph Networks | [here](https://openreview.net/forum?id=qgiG7WZohZ) | Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi |

| Reversible and irreversible bracket-based dynamics for deep graph neural networks | [here](https://openreview.net/forum?id=4SoTUaTK8N) | Anthony Gruber, Kookjin Lee, Nathaniel Trask |

| V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs | [here](https://openreview.net/forum?id=CtXXOaxDw7) | Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang |

| The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models | [here](https://openreview.net/forum?id=uN71BdBEG8) | Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz |

| Towards Better Dynamic Graph Learning: New Architecture and Unified Library | [here](https://openreview.net/forum?id=xHNzWHbklj) | Le Yu, Leilei Sun, Bowen Du, Weifeng Lv |

| Quasi-Monte Carlo Graph Random Features | [here](https://openreview.net/forum?id=zCFfv49MjE) | Isaac Reid, Adrian Weller, Krzysztof M Choromanski |

| GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning | [here](https://openreview.net/forum?id=Tt6DrRCgJV) | Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu |

| Interpretable Graph Networks Formulate Universal Algebra Conjectures | [here](https://openreview.net/forum?id=Psnph85KYc) | Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero |

| Neural Graph Generation from Graph Statistics | [here](https://openreview.net/forum?id=EI6BHFKA5p) | Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte |

| Towards Self-Interpretable Graph-Level Anomaly Detection | [here](https://openreview.net/forum?id=SAzaC8f3cM) | Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan |

| CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs | [here](https://openreview.net/forum?id=1SF2tiopYJ) | Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam |

| Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis | [here](https://openreview.net/forum?id=eD534mPhAg) | Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He |

| Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks | [here](https://openreview.net/forum?id=enfx8HM4Rp) | Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang |

| TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph | [here](https://openreview.net/forum?id=oaGdsgB18L) | Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun |

| PRODIGY: Enabling In-context Learning Over Graphs | [here](https://openreview.net/forum?id=pLwYhNNnoR) | Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec |

| Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective | [here](https://openreview.net/forum?id=sJDkwMVqb9) | Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin |

| Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion | [here](https://openreview.net/forum?id=hSTaTBIUCj) | Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua |

| GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph | [here](https://openreview.net/forum?id=YmEDnMynuO) | Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang |

| Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization | [here](https://openreview.net/forum?id=z3HACY5CMa) | Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji |

| Taming Local Effects in Graph-based Spatiotemporal Forecasting | [here](https://openreview.net/forum?id=x2PH6q32LR) | Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi |

| From Trainable Negative Depth to Edge Heterophily in Graphs | [here](https://openreview.net/forum?id=p8lowHbuv8) | Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong |

| Graph of Circuits with GNN for Exploring the Optimal Design Space | [here](https://openreview.net/forum?id=VNjJAWjuEU) | Aditya Shahane, Saripilli Swapna Manjiri, Ankesh Jain, Sandeep Kumar |

| Self-supervised Graph Neural Networks via Low-Rank Decomposition | [here](https://openreview.net/forum?id=XvGQ6F3sG8) | Liang Yang, Runjie Shi, Qiuliang Zhang, bingxin niu, Zhen Wang, Xiaochun Cao, Chuan Wang |

| Certifiably Robust Graph Contrastive Learning | [here](https://openreview.net/forum?id=o50nH0sV9x) | Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang |

| Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | [here](https://openreview.net/forum?id=nq4OhifyEe) | Hezhe Qiao, Guansong Pang |

| Efficient Learning of Linear Graph Neural Networks via Node Subsampling | [here](https://openreview.net/forum?id=rQI3FOzo1f) | Seiyun Shin, Ilan Shomorony, Han Zhao |

| Graph Denoising Diffusion for Inverse Protein Folding | [here](https://openreview.net/forum?id=u4YXKKG5dX) | Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang |

| PlanE: Representation Learning over Planar Graphs | [here](https://openreview.net/forum?id=u2RJ0I3o3j) | Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ceylan |

| A Metadata-Driven Approach to Understand Graph Neural Networks | [here](https://openreview.net/forum?id=FgakGFpll1) | Ting Wei Li, Qiaozhu Mei, Jiaqi Ma |

| Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks | [here](https://openreview.net/forum?id=m2WR1yJ8N9) | Jiarong Xu, Renhong Huang, XIN JIANG, Yuxuan Cao, Carl Yang, Chunping Wang, YANG YANG |

| Language Semantic Graph Guided Data-Efficient Learning | [here](https://openreview.net/forum?id=tUyW68cRqr) | Wenxuan Ma, Shuang Li, lincan Cai, Jingxuan Kang |

| The expressive power of pooling in Graph Neural Networks | [here](https://openreview.net/forum?id=zqyVjCjhYD) | Filippo Maria Bianchi, Veronica Lachi |

| Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach | [here](https://openreview.net/forum?id=xtADRDRsM2) | Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay |

| Learning Invariant Representations of Graph Neural Networks via Cluster Generalization | [here](https://openreview.net/forum?id=zrCmeqV3Sz) | Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi |

| Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift | [here](https://openreview.net/forum?id=hIGZujtOQv) | Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He |

| LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees | [here](https://openreview.net/forum?id=VPTZVVP4tm) | Shangyuan LIU, Linglingzhi Zhu, Anthony Man-Cho So |

| Simplifying and Empowering Transformers for Large-Graph Representations | [here](https://openreview.net/forum?id=R4xpvDTWkV) | Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan |

| Interpretable Prototype-based Graph Information Bottleneck | [here](https://openreview.net/forum?id=icWwBKyVMs) | Sangwoo Seo, Sungwon Kim, Chanyoung Park |

| A new perspective on building efficient and expressive 3D equivariant graph neural networks | [here](https://openreview.net/forum?id=hWPNYWkYPN) | weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma |

| On the Ability of Graph Neural Networks to Model Interactions Between Vertices | [here](https://openreview.net/forum?id=ayZpFoAu5c) | Noam Razin, Tom Verbin, Nadav Cohen |

| Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge | [here](https://openreview.net/forum?id=h3kuB4z2G9) | Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu |

| Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints | [here](https://openreview.net/forum?id=qQnO1HLQHe) | Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song |

| Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum | [here](https://openreview.net/forum?id=TOxpAwp0VE) | Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu |

| Lovász Principle for Unsupervised Graph Representation Learning | [here](https://openreview.net/forum?id=0vdEHDwamk) | Ziheng Sun, Chris Ding, Jicong Fan |

| Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts | [here](https://openreview.net/forum?id=RRUVZygUtr) | Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu |

| Optimizing over trained GNNs via symmetry breaking | [here](https://openreview.net/forum?id=znW5jNIOED) | Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener |

| Tailoring Self-Attention for Graph via Rooted Subtrees | [here](https://openreview.net/forum?id=t2hEZadBBk) | Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin |

| A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks | [here](https://openreview.net/forum?id=sxao2udWXi) | Vignesh Kothapalli, Tom Tirer, Joan Bruna |

| On Learning Necessary and Sufficient Causal Graphs | [here](https://openreview.net/forum?id=kKFDMtpeDW) | Hengrui Cai, Yixin Wang, Michael Jordan, Rui Song |

| When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability | [here](https://openreview.net/forum?id=kJmYu3Ti2z) | Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup |

| Limits, approximation and size transferability for GNNs on sparse graphs via graphops | [here](https://openreview.net/forum?id=kDQwossJuI) | Thien Le, Stefanie Jegelka |

| SPA: A Graph Spectral Alignment Perspective for Domain Adaptation | [here](https://openreview.net/forum?id=lpx9LZPVtZ) | Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao |

| Intervention Generalization: A View from Factor Graph Models | [here](https://openreview.net/forum?id=9S8oVumknA) | Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva |

| Transformers over Directed Acyclic Graphs | [here](https://openreview.net/forum?id=g49s1N5nmO) | Yuankai Luo, Veronika Thost, Lei Shi |

| Fast Approximation of Similarity Graphs with Kernel Density Estimation | [here](https://openreview.net/forum?id=B4G87Bq5wA) | Peter Macgregor, He Sun |

| Graph-Structured Gaussian Processes for Transferable Graph Learning | [here](https://openreview.net/forum?id=eZbqD9BoXe) | Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He |

| Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data | [here](https://openreview.net/forum?id=FCwF5431IY) | Saptarshi Roy, Raymond K. W. Wong, Yang Ni |

| Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference | [here](https://openreview.net/forum?id=eXubleMT0q) | Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen |

| High dimensional, tabular deep learning with an auxiliary knowledge graph | [here](https://openreview.net/forum?id=GGylthmehy) | Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec |

| 4D Panoptic Scene Graph Generation | [here](https://openreview.net/forum?id=GRHZiTbDDI) | Jingkang Yang, Jun CEN, WENXUAN PENG, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu |

| Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling | [here](https://openreview.net/forum?id=K9xHDD6mic) | Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang |

| Demystifying Oversmoothing in Attention-Based Graph Neural Networks | [here](https://openreview.net/forum?id=Kg65qieiuB) | Xinyi Wu, Amir Ajorlou, Zihui Wu, Ali Jadbabaie |

| Mitigating the Popularity Bias of  Graph Collaborative Filtering: A Dimensional Collapse Perspective | [here](https://openreview.net/forum?id=MvCq52yt9Y) | Yifei Zhang, Hao Zhu, yankai Chen, Zixing Song, Piotr Koniusz, Irwin King |

| Geometric Analysis of Matrix Sensing over Graphs | [here](https://openreview.net/forum?id=NRnm5xO8Hz) | Haixiang Zhang, Ying Chen, Javad Lavaei |

| GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation | [here](https://openreview.net/forum?id=puupdGOWUp) | Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye |

| Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence | [here](https://openreview.net/forum?id=PSngfm5B9q) | Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada |

| SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network | [here](https://openreview.net/forum?id=bprclnHNvm) | Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong |

| Variational Annealing on Graphs for Combinatorial Optimization | [here](https://openreview.net/forum?id=SLx7paoaTU) | Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner |

| Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs | [here](https://openreview.net/forum?id=bETvUctiTR) | CHEN SHENGYUAN, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun |

| Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily | [here](https://openreview.net/forum?id=nBFMCyEi0j) | Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King |

| No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning | [here](https://openreview.net/forum?id=8aDG51pxFc) | Zixing Song, Yifei Zhang, Irwin King |

| Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning | [here](https://openreview.net/forum?id=wYkfog48Bq) | Zixing Song, Yifei Zhang, Irwin King |

| Simple and Asymmetric Graph Contrastive Learning without Augmentations | [here](https://openreview.net/forum?id=UK8mA3DRnb) | Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang |

| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | [here](https://openreview.net/forum?id=dcw7qRUuD8) | Fiona Lippert, Bart Kranstauber, Emiel van Loon, Patrick Forré |

| An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations | [here](https://openreview.net/forum?id=XyAP8ScqLV) | Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu |

| Provable Training for Graph Contrastive Learning | [here](https://openreview.net/forum?id=Xasl21tSOf) | Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi |

| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | [here](https://openreview.net/forum?id=bGs1qWQ1Fx) | Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu |

| Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First | [here](https://openreview.net/forum?id=fTyGT5fulj) | Zheng Zhang, Junxiang Wang, Liang Zhao |

| Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules | [here](https://openreview.net/forum?id=fWLf8DV0fI) | ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua |

| Video-Mined Task Graphs for Keystep Recognition in Instructional Videos | [here](https://openreview.net/forum?id=VAC7aB6qSG) | Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman |

| Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts | [here](https://openreview.net/forum?id=nJFJcgjnGo) | Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova |

| Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy | [here](https://openreview.net/forum?id=noMktb4ait) | Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li |

| Directional diffusion models for graph representation learning | [here](https://openreview.net/forum?id=oDtyJt5JLk) | Run Yang, Yuling Yang, Fan Zhou, Qiang Sun |

| FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks | [here](https://openreview.net/forum?id=ody3RBUuJS) | Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong |

| Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision | [here](https://openreview.net/forum?id=UAFa5ZhR85) | Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu |

| Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion | [here](https://openreview.net/forum?id=qUlpDjYnsp) | Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim |

| [Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification | [here](https://openreview.net/forum?id=XxUIomN-ndH) | Ermin Omeragic, Vuk Đuranović |

| Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking | [here](https://openreview.net/forum?id=YdjWXrdOTh) | Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin |

| Sparse Graph Learning from Spatiotemporal Time Series | nan | Andrea Cini, Daniele Zambon, Cesare Alippi |

| What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding | [here](https://openreview.net/forum?id=LmmjiTwYm0) | Nicolas Keriven, Samuel Vaiter |

| Sheaf Hypergraph Networks | [here](https://openreview.net/forum?id=NvcVXzJvhX) | Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió |

| A graphon-signal analysis of graph neural networks | [here](https://openreview.net/forum?id=J0RD92Tmfc) | Ron Levie |

| MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy | [here](https://openreview.net/forum?id=7p5YWe8GqG) | Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris Maddison, Lei Han |

| Curvature Filtrations for Graph Generative Model Evaluation | [here](https://openreview.net/forum?id=Dt71xKyabn) | Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck |

| Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals | [here](https://openreview.net/forum?id=1M8nDkUU9b) | Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu |

| Large sample spectral analysis of graph-based multi-manifold clustering | nan | Nicolas Garcia Trillos, Pengfei He, Chenghui Li |

| Network Regression with Graph Laplacians | nan | Yidong Zhou, Hans-Georg Müller |