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https://github.com/xiaoxinhe/icml2023_learning_on_graphs

List of papers on ICML2023.
https://github.com/xiaoxinhe/icml2023_learning_on_graphs

icml-2023

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List of papers on ICML2023.

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# [ICML2023] Learning on Graphs 



| Title    | Link | Authors |

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

| Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks | https://openreview.net/forum?id=Z1I4WrV5TG | Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei |

| Equivariant Polynomials for Graph Neural Networks | https://openreview.net/forum?id=oVwFwXO9Kg | Omri Puny, Derek Lim, Bobak T Kiani, Haggai Maron, Yaron Lipman |

| On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation | https://openreview.net/forum?id=Vcl3qckVyh | Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, QUANMING YAO, Bo Han |

| Fast Online Node Labeling for Very Large Graphs | https://openreview.net/forum?id=p6T3omuNZK | Baojian Zhou, Yifan Sun, Reza Babanezhad |

| What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings | https://openreview.net/forum?id=kMWdo7dZUk | Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu |

| Graph Inductive Biases in Transformers without Message Passing | https://openreview.net/forum?id=HjMdlNgybR | Liheng Ma, Chen Lin, Derek Lim, Adriana Romero Soriano, Puneet Dokania, Mark Coates, Phil Torr, Ser Nam Lim |

| Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling | https://openreview.net/forum?id=vn9O1N5ZOw | Xiaohui Chen, JIAXING HE, Xu Han, Liping Liu |

| MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods | https://openreview.net/forum?id=bkRrdYhd7U | Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott MacLachlan, Luke Olson, Matthew West |

| Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation | https://openreview.net/forum?id=5yWTeqwv8t | Joonhyuk Yang, Dongpil Shin, Hye Won Chung |

| On the Expressive Power of Geometric Graph Neural Networks | https://openreview.net/forum?id=6Ed3gchl9L | Chaitanya Joshi, Cristian Bodnar, Simon Mathis, Taco Cohen, Pietro Lió |

| Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network | https://openreview.net/forum?id=2Mbo7IEtZW | Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang |

| Vertical Federated Graph Neural Network for Recommender System | https://openreview.net/forum?id=NRnS6CtbaN | Peihua Mai, Yan (James) Pang |

| Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization | https://openreview.net/forum?id=KTJ6E8t9Cy | Yushi Bai, Xin Lv, Juanzi Li, Lei Hou |

| Transformers Meet Directed Graphs | https://openreview.net/forum?id=a7PVyayyfp | Simon Markus Geisler, Yujia Li, Daniel Mankowitz, Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru |

| SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning | https://openreview.net/forum?id=p32U4ulksI | Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu |

| Subequivariant Graph Reinforcement Learning in 3D Environments | https://openreview.net/forum?id=4YYgtY1APK | Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang |

| Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks | https://openreview.net/forum?id=rNLHeKckZc | Peng XU, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu |

| Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering | https://openreview.net/forum?id=DZxkGYipRu | Erlin Pan, zhao kang |

| Disentangled Multiplex Graph Representation Learning | https://openreview.net/forum?id=lYZOjMvxws | Yujie Mo, Yajie Lei, Jialie SHEN, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu |

| Graph Generative Model for Benchmarking Graph Neural Networks | https://openreview.net/forum?id=SpA7YFu02k | Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Ruslan Salakhutdinov |

| When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations | https://openreview.net/forum?id=3jV525Hmqr | Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang |

| A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests | https://openreview.net/forum?id=2Hp7U3k5Ph | Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang |

| Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure | https://openreview.net/forum?id=xQm5d5T30v | Ryoma Sato |

| Implicit Graph Neural Networks: A Monotone Operator Viewpoint | https://openreview.net/forum?id=Q8k4WzGgnK | Justin Baker, Qingsong Wang, Cory Hauck, Bao Wang |

| Autoregressive Diffusion Model for Graph Generation | https://openreview.net/forum?id=dtg76BRYCG | Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang |

| Efficient Graph Field Integrators Meet Point Clouds | https://openreview.net/forum?id=Y5jGkbZ0W3 | Krzysztof Choromanski, Arijit Sehanobish, Han Lin, YUNFAN ZHAO, Eli Berger, Tetiana Parshakova, Qingkai Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller |

| Conformal Prediction Sets for Graph Neural Networks | https://openreview.net/forum?id=zGf8J0bNfX | Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski |

| GOAT: A Global Transformer on Large-scale Graphs | https://openreview.net/forum?id=Le2dVIoQun | Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein |

| Local Vertex Colouring Graph Neural Networks | https://openreview.net/forum?id=szL4HN4hkH | Shouheng Li, Dongwoo Kim, Qing Wang |

| Multi-class Graph Clustering via Approximated Effective $p$-Resistance | https://openreview.net/forum?id=d65OJgQp5Q | Shota Saito, Mark Herbster |

| Understanding Oversquashing in GNNs through the Lens of Effective Resistance | https://openreview.net/forum?id=50SO1LwcYU | Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang |

| Towards Understanding and Reducing Graph Structural Noise for GNNs | https://openreview.net/forum?id=wO6ExWRO3c | Mingze Dong, Yuval Kluger |

| Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering | https://openreview.net/forum?id=OYIIEfy4zw | Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi |

| Feature Expansion for Graph Neural Networks | https://openreview.net/forum?id=YzmK8afGvq | Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng XU, Kun Zhang, Yujiu Yang |

| Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs | https://openreview.net/forum?id=KiUDs8yWX4 | YIZHEN ZHENG, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan |

| Randomized Schur Complement Views for Graph Contrastive Learning | https://openreview.net/forum?id=x64pAA8OZZ | Vignesh Kothapalli |

| Dink-Net: Neural Clustering on Large Graphs | https://openreview.net/forum?id=T0eM9e8OUf | Yue Liu, KE LIANG, Jun Xia, sihang zhou, xihong yang, Xinwang Liu, Stan Z Li |

| Tight and fast generalization error bound of graph embedding in metric space | https://openreview.net/forum?id=T7kquivfZC | Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi |

| Modeling Dynamic Environments with Scene Graph Memory | https://openreview.net/forum?id=NiUxS1cAI4 | Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín |

| From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks | https://openreview.net/forum?id=K07XAlzh5i | Cai Zhou, Xiyuan Wang, Muhan Zhang |

| Deep Graph Representation Learning and Optimization for Influence Maximization | https://openreview.net/forum?id=4k8cvbQJh8 | Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao |

| Boosting Graph Contrastive Learning via Graph Contrastive Saliency | https://openreview.net/forum?id=XoJIpLASZx | Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, LU FANG |

| Graph Neural Networks with Learnable and Optimal Polynomial Bases | https://openreview.net/forum?id=UjQIoJv927 | Yuhe Guo, Zhewei Wei |

| A Generalization of ViT/MLP-Mixer to Graphs | https://openreview.net/forum?id=l7yTbEWuOQ | Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson |

| Exphormer: Sparse Transformers for Graphs | https://openreview.net/forum?id=3Ge74dgjjU | Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J Sutherland, Ali K Sinop |

| Ewald-based Long-Range Message Passing for Molecular Graphs | https://openreview.net/forum?id=vd5JYAml0A | Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann |

| Improving Graph Neural Networks with Learnable Propagation Operators | https://openreview.net/forum?id=5jFy5MQvUj | Moshe Eliasof, Lars Ruthotto, Eran Treister |

| Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs | https://openreview.net/forum?id=DdQTP1yFLQ | Steinar Laenen, Bogdan Manghiuc, He Sun |

| Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single | https://openreview.net/forum?id=K0InBsKODr | Paul Vicol |

| Alternately Optimized Graph Neural Networks | https://openreview.net/forum?id=2tDZSYxMup | Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang |

| Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks | https://openreview.net/forum?id=BKcq7TDWAT | Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay |

| Taming graph kernels with random features | https://openreview.net/forum?id=H21qm4xyk9 | Krzysztof Choromanski |

| On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology | https://openreview.net/forum?id=t2tTfWwAEl | Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lió, Michael Bronstein |

| Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs | https://openreview.net/forum?id=QIejMwU0r9 | Saro Passaro, Larry Zitnick |

| Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees | https://openreview.net/forum?id=6rlGbYv4bT | Shenghao Yang, Kimon Fountoulakis |

| Fisher Information Embedding for Node and Graph Learning | https://openreview.net/forum?id=VLs7ZmctMf | Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt |

| Graph Mixup with Soft Alignments | https://openreview.net/forum?id=zS6QCVwPUs | Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou |

| E$(n)$ Equivariant Message Passing Simplicial Networks | https://openreview.net/forum?id=hF65aKF8Bf | Floor Eijkelboom, Rob Hesselink, Erik Bekkers |

| Graph Positional Encoding via Random Feature Propagation | https://openreview.net/forum?id=1Nx2n1lk5T | Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron |

| Half-Hop: A graph upsampling approach for slowing down message passing | https://openreview.net/forum?id=lXczFIwQkv | Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva Dyer |

| StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes | https://openreview.net/forum?id=6vauERTFMb | Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan |

| GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets | https://openreview.net/forum?id=pNi4q28UyI | Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur |

| Graph Switching Dynamical Systems | https://openreview.net/forum?id=rW6ENT7EtX | Yongtuo Liu, Sara Magliacane, Miltiadis (Miltos) Kofinas, Efstratios Gavves |

| ClusterFuG: Clustering Fully connected Graphs by Multicut | https://openreview.net/forum?id=IK5SlumdGu | Ahmed Abbas, Paul Swoboda |

| GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming | https://openreview.net/forum?id=tX7ajV69wt | Huigen Ye, Hua Xu, Hongyan Wang, Chengming WANG, Yu Jiang |

| Causal Bounds in Quasi-Markovian Graphs | https://openreview.net/forum?id=eXtJRDCGye | Madhumitha Shridharan, Garud Iyengar |

| RGE: A Repulsive Graph Rectification for Node Classification via Influence | https://openreview.net/forum?id=OcKwZhPwHA | Jaeyun Song, Sungyub Kim, Eunho Yang |

| Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks | https://openreview.net/forum?id=HfUWnPeLLH | Feng Ji, See Hian Lee, Meng HanYang, Kai Zhao, Jielong Yang, Wee Peng Tay |

| Quantum 3D Graph Learning with Applications to Molecule Embedding | https://openreview.net/forum?id=mLOWz0e1Yq | Ge Yan, Huaijin Wu, Junchi Yan |

| Generated Graph Detection | https://openreview.net/forum?id=OoTa4H6Bnz | Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang |

| CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification | https://openreview.net/forum?id=IIqhdgLUio | Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo |

| Featured Graph Coarsening with Similarity Guarantees | https://openreview.net/forum?id=wVGreJ2338 | MANOJ KUMAR, Anurag Sharma, Shashwat Saxena, Sandeep Kumar |

| Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation | https://openreview.net/forum?id=thTcrwTATe | Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han |

| GREAD: Graph Neural Reaction-Diffusion Networks | https://openreview.net/forum?id=LMay53U4ke | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |

| Structural Re-weighting Improves Graph Domain Adaptation | https://openreview.net/forum?id=fKnw2yYXpK | Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li |

| Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains | https://openreview.net/forum?id=450iImFM4U | Vishwaraj Doshi, Jie Hu, Do-Young Eun |

| GC-Flow: A Graph-Based Flow Network for Effective Clustering | https://openreview.net/forum?id=NRJPnlZ1JI | Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen |

| RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations | https://openreview.net/forum?id=GnsqiJwDzN | Zirui Liu, CHEN SHENGYUAN, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu |

| All in a Row: Compressed Convolution Networks for Graphs | https://openreview.net/forum?id=AHWSZhGXbs | Junshu Sun, Shuhui Wang, XINZHE HAN, Zhe Xue, Qingming Huang |

| TIDE: Time Derivative Diffusion for Deep Learning on Graphs | https://openreview.net/forum?id=PWRIIwBJFo | Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov |

| Improving Graph Generation by Restricting Graph Bandwidth | https://openreview.net/forum?id=9WJsVG58YO | Nathaniel Diamant, Alex Tseng, Kangway Chuang, Tommaso Biancalani, Gabriele Scalia |

| Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs | https://openreview.net/forum?id=tIJMebbcRF | Raif Rustamov, Subhabrata Majumdar |

| Efficiently predicting high resolution mass spectra with graph neural networks | https://openreview.net/forum?id=81RIPI742h | Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler |

| Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching | https://openreview.net/forum?id=MocsSAUKlk | Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z Li |

| Relevant Walk Search for Explaining Graph Neural Networks | https://openreview.net/forum?id=BDYIci7bVs | Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus-robert Mueller, Shinichi Nakajima |

| Towards Understanding Generalization of Graph Neural Networks | https://openreview.net/forum?id=BhMyLk0YNy | Huayi Tang, Yong Liu |

| Graph Neural Tangent Kernel: Convergence on Large Graphs | https://openreview.net/forum?id=Dmac7fT3TS | Sanjukta Krishnagopal, Luana Ruiz |

| Graph Contrastive Backdoor Attacks | https://openreview.net/forum?id=BfVkbfJGW4 | Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu |

| Total Variation Graph Neural Networks | https://openreview.net/forum?id=PRexNmId50 | Jonas B. Hansen, Filippo Maria Bianchi |

| WL meet VC | https://openreview.net/forum?id=rZN3mc5m3C | Christopher Morris, Floris Geerts, Jan M Tönshoff, Martin Grohe |

| Personalized Federated Learning with Inferred Collaboration Graphs | https://openreview.net/forum?id=33fj5Ph3ot | Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yan-Feng Wang |

| SlotGAT: Slot-based Message Passing for Heterogeneous Graphs | https://openreview.net/forum?id=G6L1kwy9AA | Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li |

| LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation | https://openreview.net/forum?id=P98vAWoj5W | Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu |

| Generative Graph Dictionary Learning | https://openreview.net/forum?id=vTSyiXwoPK | Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong |

| One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding | https://openreview.net/forum?id=9L6f6Y7GUS | Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani |

| Path Neural Networks: Expressive and Accurate Graph Neural Networks | https://openreview.net/forum?id=5Purw053IP | Gaspard Michel, Giannis Nikolentzos, Johannes Lutzeyer, Michalis Vazirgiannis |

| DRew: Dynamically Rewired Message Passing with Delay | https://openreview.net/forum?id=WEgjbJ6IDN | Benjamin Gutteridge, Xiaowen Dong, Michael Bronstein, Francesco Di Giovanni |

| Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication | https://openreview.net/forum?id=Ll1oayYdUC | Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ding, Zhangyang “Atlas” Wang |

| SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching | https://openreview.net/forum?id=sag7iLqPvC | Liren Yu, Jiaming Xu, Xiaojun Lin |

| Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs | https://openreview.net/forum?id=X8h8wLjog7 | Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco |

| On the Initialization of Graph Neural Networks | https://openreview.net/forum?id=2t0I8KYaPG | Jiahang Li, Yakun Song, Xiang song, David Wipf |

| HOPE: High-order Graph ODE For Modeling Interacting Dynamics | https://openreview.net/forum?id=9iChKP4k32 | Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun |

| On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs | https://openreview.net/forum?id=Lg6ia0e8fo | Richard Watson, Hengrui Cai, Xinming An, Samuel McLean, Rui Song |

| Online Learning with Feedback Graphs: The True Shape of Regret | https://openreview.net/forum?id=VVkeeSBUuh | Tomáš Kocák, Alexandra Carpentier |

| Additive Causal Bandits with Unknown Graph | https://openreview.net/forum?id=2NCTb7tSIp | Alan Malek, Virginia Aglietti, Silvia Chiappa |

| Expectation-Complete Graph Representations with Homomorphisms | https://openreview.net/forum?id=ppgRPC14uI | Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner |

| InGram: Inductive Knowledge Graph Embedding via Relation Graphs | https://openreview.net/forum?id=OoOpO0u4Xd | Jaejun Lee, Chanyoung Chung, Joyce Whang |

| FAENet: Frame Averaging Equivariant GNN for Materials Modeling | https://openreview.net/forum?id=HRDRZNxQXc | ALEXANDRE DUVAL, Victor Schmidt, Alex Hernandez-Garcia, Santiago Miret, Fragkiskos Malliaros, Yoshua Bengio, David Rolnick |

| Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs | https://openreview.net/forum?id=SZldtLz7xg | Lirong Wu, Haitao Lin, Yufei Huang, Stan Z Li |

| Towards Robust Graph Incremental Learning on Evolving Graphs | https://openreview.net/forum?id=DdQ8ewIgY9 | Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu |

| GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks | https://openreview.net/forum?id=rxT5EVRNEu | Yuwen Li, Miao Xiong, Bryan Hooi |

| Graph Reinforcement Learning for Network Control via Bi-Level Optimization | https://openreview.net/forum?id=rzN05i4GOE | Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco Pereira |

| Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian | https://openreview.net/forum?id=pKNQRJZwnV | Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji |

| On the Connection Between MPNN and Graph Transformer | https://openreview.net/forum?id=1EuHYKFPgA | Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang |

| Conditional Graph Information Bottleneck for Molecular Relational Learning | https://openreview.net/forum?id=5hz3GV4lPq | Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park |

| Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs | https://openreview.net/forum?id=KVmFqS1cMP | Dale Kim, Qing Zhou |

| Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks | https://openreview.net/forum?id=FQzJ3zBYLO | He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang YUAN |

| Towards Deep Attention in Graph Neural Networks: Problems and Remedies | https://openreview.net/forum?id=GESSdu0RIA | Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin |