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
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang Stefanie Jegelka OOD 67 35 0 04 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 27 3 0 03 Oct 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 46 77 0 30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 24 49 0 30 Sep 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 89 54 0 29 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
A Generalist Neural Algorithmic Learner Borja Ibarz Vitaly Kurin George Papamakarios Kyriacos Nikiforou Mehdi Abbana Bennani ... Andreea Deac Beatrice Bevilacqua Yaroslav Ganin Charles Blundell Petar Velivcković OOD 29 53 0 22 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
Gradual Weisfeiler-Leman: Slow and Steady Wins the Race Franka Bause Nils M. Kriege CLL 31 6 0 19 Sep 2022
Explainability in subgraphs-enhanced Graph Neural Networks Michele Guerra Indro Spinelli Simone Scardapane F. Bianchi 16 1 0 16 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 31 2 0 14 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 61 16 0 07 Sep 2022
Reinforced Continual Learning for Graphs Appan Rakaraddi Siew-Kei Lam Mahardhika Pratama Marcus Vinícius de Carvalho CLL 19 23 0 04 Sep 2022
Higher-order Clustering and Pooling for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros 34 38 0 02 Sep 2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks H. Samoaa Antonio Longa Mazen Mohamad M. Chehreghani Philipp Leitner GNN 19 9 0 25 Aug 2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles Lukas Pfahler K. Morik SSL 10 4 0 22 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 44 14 0 22 Aug 2022
Graph Neural Network Based Node Deployment for Throughput Enhancement Yifei Yang Dongmian Zou Xiaofan He 13 5 0 19 Aug 2022
Robust Causal Graph Representation Learning against Confounding Effects Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Bing Xu Changwen Zheng Gang Hua OOD CML 14 15 0 18 Aug 2022
Generalizing Downsampling from Regular Data to Graphs D. Bacciu A. Conte Francesco Landolfi 45 8 0 06 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 50 373 0 05 Aug 2022
See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation J. Blumenkamp Qingbiao Li Binyu Wang Zhe Liu Amanda Prorok SSL 17 2 0 01 Aug 2022
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction Artur M. Schweidtmann Jan G. Rittig Jana M. Weber Martin Grohe Manuel Dahmen K. Leonhard Alexander Mitsos 16 24 0 27 Jul 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 11 33 0 27 Jul 2022
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach P. Saikia Kshitij Gundale A. Jain Dev Jadeja Harvi Patel Mohendra Roy GNN 11 4 0 27 Jul 2022
Learning Hierarchical Protein Representations via Complete 3D Graph Networks Limei Wang Haoran Liu Yi Liu Jerry Kurtin Shuiwang Ji GNN 33 55 0 26 Jul 2022
Graph neural networks for the prediction of molecular structure-property relationships Jan G. Rittig Qing-Bin Gao Manuel Dahmen Alexander Mitsos Artur M. Schweidtmann AI4CE 21 10 0 25 Jul 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning Haoran Yang Xiangyu Zhao Muyang Li Hongxu Chen Guandong Xu FedML 27 2 0 24 Jul 2022
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data David Hart Michael Whitney B. Morse 42 2 0 18 Jul 2022
GrabQC: Graph based Query Contextualization for automated ICD coding Jeshuren Chelladurai Sudarsun Santhiappan B. Ravindran 13 1 0 14 Jul 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 22 16 0 14 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 48 1 0 12 Jul 2022
Wasserstein Graph Distance Based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees Zhongxi Fang Jianming Huang Xun Su Hiroyuki Kasai 21 8 0 09 Jul 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 27 48 0 07 Jul 2022
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets Anna Nguyen Antonio Longa Massimiliano Luca Joe Kaul Gabriel Lopez 41 12 0 02 Jul 2022
Learning to Control Local Search for Combinatorial Optimization Jonas K. Falkner Daniela Thyssens Ahmad Bdeir Lars Schmidt-Thieme 30 18 0 27 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 50 16 0 23 Jun 2022
A Topological characterisation of Weisfeiler-Leman equivalence classes Jacob Bamberger GNN 19 3 0 23 Jun 2022
Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids Jan G. Rittig Karim Ben Hicham Artur M. Schweidtmann Manuel Dahmen Alexander Mitsos 8 42 0 23 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 41 57 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 37 125 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 31 17 0 22 Jun 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 18 43 0 22 Jun 2022
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction Yangyi Hu Xiyuan Wang Zhouchen Lin Pan Li Muhan Zhang 23 7 0 20 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Wang Zeyang Zhang Wenwu Zhu 24 26 0 18 Jun 2022
Boosting Graph Structure Learning with Dummy Nodes Xin Liu Cheng Jiayang Yangqiu Song Xin Jiang 3DH 12 23 0 17 Jun 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs Limei Wang Yi Liu Yu-Ching Lin Hao Liu Shuiwang Ji GNN 41 89 0 17 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf A. Luu Dominique Beaini 26 195 0 16 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Alexander Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 21 13 0 15 Jun 2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris Thomas D. Barrett Arnu Pretorius 24 4 0 14 Jun 2022