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Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 877 papers shown

Title
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial ComplexesAAAI Conference on Artificial Intelligence (AAAI), 2023 Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 149 26 0 22 Sep 2023
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution Shuang Ao Tianyi Zhou Guodong Long Xuan Song Jing Jiang 168 7 0 21 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci CurvatureLOG IN (LOG IN), 2023 Lukas Fesser Melanie Weber 286 40 0 17 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting PowerNeural Information Processing Systems (NeurIPS), 2023 Junru Zhou Jiarui Feng Xiyuan Wang Muhan Zhang 275 12 0 10 Sep 2023
Graph Neural Networks Use Graphs When They Shouldn'tInternational Conference on Machine Learning (ICML), 2023 Maya Bechler-Speicher Ido Amos Ran Gilad-Bachrach Amir Globerson GNN AI4CE 145 25 0 08 Sep 2023
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention Hao Zhang Haisheng Li Nan Li Xiaochuan Wang AI4CE 179 3 0 03 Sep 2023
Pure Message Passing Can Estimate Common Neighbor for Link PredictionNeural Information Processing Systems (NeurIPS), 2023 Kaiwen Dong Zhichun Guo Nitesh Chawla 190 15 0 02 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 269 1 0 01 Sep 2023
Curvature-based Pooling within Graph Neural Networks Cedric Sanders Andreas Roth Thomas Liebig 170 7 0 31 Aug 2023
Spatial Graph Coarsening: Weather and Weekday Prediction with London's Bike-Sharing Service using GNN Yuta Sato Pak-Hei Lam Shruti Gupta Fareesah Hussain 79 0 0 30 Aug 2023
Structural Node Embeddings with Homomorphism Counts Hinrikus Wolf Luca Oeljeklaus Pascal Kuhner Martin Grohe 208 4 0 29 Aug 2023
Approximately Equivariant Graph NetworksNeural Information Processing Systems (NeurIPS), 2023 Ningyuan Huang Ron Levie Soledad Villar 340 25 0 21 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 182 4 0 18 Aug 2023
The Expressive Power of Graph Neural Networks: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 432 42 0 16 Aug 2023
DeSCo: Towards Generalizable and Scalable Deep Subgraph CountingWeb Search and Data Mining (WSDM), 2023 Tianyu Fu Chiyue Wei Yu Wang Rex Ying GNN 198 7 0 16 Aug 2023
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Francesco Campi Lukas Gosch Thomas Wollschläger Yan Scholten Stephan Günnemann AAML 187 2 0 16 Aug 2023
Bringing order into the realm of Transformer-based language models for artificial intelligence and lawArtificial Intelligence and Law (ICAIL), 2023 C. M. Greco Andrea Tagarelli AILaw 209 40 0 10 Aug 2023
Probabilistic Invariant Learning with Randomized Linear ClassifiersNeural Information Processing Systems (NeurIPS), 2023 Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 235 2 0 08 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsInternational Conference on Learning Representations (ICLR), 2023 Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Tengjiao Wang Muhan Zhang J. Leskovec 218 31 0 04 Aug 2023
Factor Graph Neural NetworksJournal of machine learning research (JMLR), 2023 Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 260 47 0 02 Aug 2023
Hypergraph Isomorphism ComputationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yifan Feng Jiashu Han Shihui Ying Yue Gao 80 18 0 26 Jul 2023
Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks Shuo-feng Zhang Yang Liu Li Xie Lei Xie 3DV 61 0 0 24 Jul 2023
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes Jincheng Zhou Beatrice Bevilacqua Bruno Ribeiro 295 14 0 12 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 250 0 0 11 Jul 2023
On the power of graph neural networks and the role of the activation function Sammy Khalife A. Basu 370 10 0 10 Jul 2023
Graph Convolutional Networks for Simulating Multi-phase Flow and Transport in Porous Media Jiamin Jiang B. Guo GNN AI4CE 152 1 0 10 Jul 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional FeaturesInternational Conference on Learning Representations (ICLR), 2023 Peihao Wang Shenghao Yang Shu Li Zinan Lin Pan Li 412 9 0 08 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Vignesh Kothapalli Tom Tirer Joan Bruna 248 16 0 04 Jul 2023
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan Zhen-Long Liang Yang Song Renjie Liao Lele Wang DiffM 262 24 0 04 Jul 2023
PlanE: Representation Learning over Planar GraphsNeural Information Processing Systems (NeurIPS), 2023 Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 272 14 0 03 Jul 2023
Automatic MILP Solver Configuration By Learning Problem SimilaritiesAnnals of Operations Research (Ann. Oper. Res.), 2023 Abdelrahman I. Hosny Sherief Reda 245 10 0 02 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects LearningNeural Networks (Neural Netw.), 2023 Giuseppe Alessio D’Inverno Simone Brugiapaglia Mirco Ravanelli 389 3 0 30 Jun 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets Eren Akbiyik Florian Grötschla Béni Egressy Roger Wattenhofer 83 3 0 30 Jun 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2023 Gao Li M. Duda Xinming Zhang Danai Koutra Yujun Yan 186 16 0 26 Jun 2023
Generalised f-Mean Aggregation for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 201 5 0 24 Jun 2023
Provably Powerful Graph Neural Networks for Directed MultigraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Béni Egressy Luc von Niederhäusern Jovan Blanusa Erik Altman Roger Wattenhofer Kubilay Atasu 174 32 0 20 Jun 2023
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks Tianyi Sun Andrew R. Hands Risi Kondor 168 2 0 19 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 177 8 0 18 Jun 2023
3D molecule generation by denoising voxel gridsNeural Information Processing Systems (NeurIPS), 2023 Pedro H. O. Pinheiro Joshua Rackers J. Kleinhenz Michael R. Maser Omar Mahmood Andrew Watkins Stephen Ra Vishnu Sresht Saeed Saremi DiffM 269 36 0 13 Jun 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness TheoremNeural Information Processing Systems (NeurIPS), 2023 Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 242 32 0 10 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain ConnectomicsNeural Information Processing Systems (NeurIPS), 2023 Anwar Said Roza G. Bayrak Hanyu Wang Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 279 43 0 09 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 180 37 0 09 Jun 2023
Expectation-Complete Graph Representations with HomomorphismsInternational Conference on Machine Learning (ICML), 2023 Pascal Welke Maximilian Thiessen Fabian Jogl Thomas Gärtner 180 11 0 09 Jun 2023
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model Can Rong Jingtao Ding Zhicheng Liu Yong Li DiffM 280 12 0 08 Jun 2023
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning ApproachIEEE Robotics and Automation Letters (RA-L), 2023 Diego Patiño Siddharth Mayya J. Calderon Kostas Daniilidis David Saldaña 170 7 0 07 Jun 2023
Limits, approximation and size transferability for GNNs on sparse graphs via graphopsNeural Information Processing Systems (NeurIPS), 2023 Thien Le Stefanie Jegelka 136 14 0 07 Jun 2023
Fine-grained Expressivity of Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 282 26 0 06 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 397 49 0 06 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 275 14 0 06 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsInternational Conference on Machine Learning (ICML), 2023 Shubham Gupta S. Manchanda Jignesh M. Patel Srikanta J. Bedathur 214 10 0 06 Jun 2023