xiaoxinhe / icml2023_learning_on_graphs

List of papers on ICML2023.

[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