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 / 808 papers shown

Title
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 65 0 12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 32 131 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 27 227 0 11 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 19 333 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 18 132 0 10 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 15 121 0 08 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 46 505 0 07 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 21 14 0 07 Jun 2021
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery Yulun Wu Mikaela Cashman Nicholas Choma E. Prates V. G. M. Vergara ... M. Head Rick L. Stevens Peter Nugent Daniel A. Jacobson James B. Brown GNN 41 10 0 04 Jun 2021
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 171 50 0 03 Jun 2021
NeRP: Neural Rearrangement Planning for Unknown Objects A. H. Qureshi Arsalan Mousavian Chris Paxton Michael C. Yip D. Fox 23 61 0 02 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 24 434 0 02 Jun 2021
Relational Reasoning Networks G. Marra Michelangelo Diligenti Francesco Giannini NAI 29 4 0 01 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks Fernando Gama Brendon G. Anderson Somayeh Sojoudi GNN 37 6 0 31 May 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
Hashing-Accelerated Graph Neural Networks for Link Prediction Wei Yu Wu Bin Li Chuan Luo Wolfgang Nejdl GNN 9 42 0 29 May 2021
Local, global and scale-dependent node roles Michael Scholkemper Michael T. Schaub 6 2 0 26 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 25 4 0 23 May 2021
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment T. Dash A. Srinivasan A. Baskar 33 13 0 22 May 2021
Generative Adversarial Neural Architecture Search Seyed Saeed Changiz Rezaei Fred X. Han Di Niu Mohammad Salameh Keith G. Mills Shuo Lian Wei Lu Shangling Jui 15 12 0 19 May 2021
Neural Trees for Learning on Graphs Rajat Talak Siyi Hu Lisa Peng Luca Carlone 39 25 0 15 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 28 23 0 12 May 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks Jing Huang Jie-jin Yang AI4CE GNN 14 166 0 03 May 2021
The Logic of Graph Neural Networks Martin Grohe AI4CE 23 88 0 29 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 21 38 0 16 Apr 2021
AutoGL: A Library for Automated Graph Learning Ziwei Zhang Yijian Qin Zeyang Zhang Chaoyu Guan Jie Cai ... Beini Xie Yang Yao Yipeng Zhang Xin Eric Wang Wenwu Zhu 21 30 0 11 Apr 2021
Scaling up graph homomorphism for classification via sampling P. Beaujean F. Sikora Florian Yger 6 3 0 08 Apr 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels Qingqing Long Yilun Jin Yi Wu Guojie Song 36 37 0 07 Apr 2021
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm Alan J. X. Guo Qing-Hu Hou Ou Wu 19 0 0 05 Apr 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang T. Tan 28 10 0 29 Mar 2021
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks Ahmed M. Elmoogy Xiaodai Dong Tao Lu Robert Westendorp K. Reddy 7 9 0 17 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 27 10 0 12 Mar 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 27 11 0 12 Mar 2021
BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification Chao Li Yiran Wei Xi Chen Carola-Bibiane Schonlieb MedIm 9 16 0 10 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lió M. Bronstein 31 247 0 04 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 26 48 0 02 Mar 2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks Yixin Lin Austin S. Wang Eric Undersander Akshara Rai LM&Ro 102 44 0 25 Feb 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 22 26 0 25 Feb 2021
Abelian Neural Networks Kenshi Abe Takanori Maehara Issei Sato 11 2 0 24 Feb 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 33 172 0 23 Feb 2021
Hierarchical Graph Representations in Digital Pathology Pushpak Pati Guillaume Jaume A. Foncubierta Florinda Feroce A. Anniciello ... G. Botti Jean-Philippe Thiran Maria Frucci O. Goksel M. Gabrani 15 117 0 22 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 78 28 0 17 Feb 2021
Topological Graph Neural Networks Max Horn E. Brouwer Michael Moor Yves Moreau Bastian Alexander Rieck Karsten M. Borgwardt AI4CE 25 90 0 15 Feb 2021
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction Jinjiang Guo Jie Li Dawei Leng Lurong Pan 11 2 0 28 Jan 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 16 249 0 25 Jan 2021
Learning Parametrised Graph Shift Operators George Dasoulas J. Lutzeyer Michalis Vazirgiannis OOD 19 21 0 25 Jan 2021
A Generalized Weisfeiler-Lehman Graph Kernel T. Schulz Tamás Horváth Pascal Welke Stefan Wrobel 23 28 0 20 Jan 2021