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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 / 876 papers shown

Title
The Surprising Power of Graph Neural Networks with Random Node InitializationInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 295 250 0 02 Oct 2020
Efficient Colon Cancer Grading with Graph Neural Networks Franziska Lippoldt GNN MedIm 83 2 0 02 Oct 2020
Learning Concepts Described by Weight Aggregation LogicAnnual Conference for Computer Science Logic (CSL), 2020 Steffen van Bergerem Nicole Schweikardt 146 12 0 22 Sep 2020
Transfer Graph Neural Networks for Pandemic Forecasting G. Panagopoulos Giannis Nikolentzos Michalis Vazirgiannis 252 8 0 10 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 128 3 0 05 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 450 12 0 31 Aug 2020
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics Dou Xu Changzhi Cai Chaowei Fang Bin Kong Jihua Zhu Zhongyu Li OOD MedIm 95 0 0 21 Aug 2020
PiNet: Attention Pooling for Graph Classification Peter Meltzer Marcelo Daniel Gutierrez Mallea Peter J Bentley GNN 64 3 0 11 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng Zichen Miao Qiang Qiu GNN 129 0 0 04 Aug 2020
The Complexity of the Distributed Constraint Satisfaction ProblemSymposium on Theoretical Aspects of Computer Science (STACS), 2020 Silvia Butti V. Dalmau 123 9 0 27 Jul 2020
Multi-view adaptive graph convolutions for graph classificationEuropean Conference on Computer Vision (ECCV), 2020 Tim Kaiser N. Vretos P. Daras 161 12 0 24 Jul 2020
The expressive power of kth-order invariant graph networks Floris Geerts 241 41 0 23 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 123 4 0 19 Jul 2020
Natural Graph NetworksNeural Information Processing Systems (NeurIPS), 2020 P. D. Haan Taco S. Cohen Max Welling GNN 156 51 0 16 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural NetworksMachine-mediated learning (ML), 2020 Gustav Sourek F. Železný Ondrej Kuzelka NAI 229 20 0 13 Jul 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla M. Schäfer Matěj Lang Gloria Fackelmann Pere-Pau Vázquez Barbora Kozlíková M. Krone Tobias Ritschel Timo Ropinski 131 2 0 13 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 155 3 0 07 Jul 2020
Neural Subgraph Matching Rex Ying Ying Zhaoyu Lou Jiaxuan You Chengtao Wen A. Canedo J. Leskovec GNN 157 109 0 06 Jul 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution C. Damke Vitali M. Melnikov Eyke Hüllermeier GNN 212 16 0 01 Jul 2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification Kai Zhang Yaokang Zhu Jun Wang Jie Zhang H. Zha 54 0 0 29 Jun 2020
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 250 134 0 26 Jun 2020
Graph Structural-topic Neural Network Qingqing Long Yilun Jin Guojie Song Yi Li Jialin Li 188 51 0 25 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer CaseInternational Conference on Machine Learning (ICML), 2020 Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong MLT AI4CE 175 35 0 25 Jun 2020
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks Yongxin Wang Kris Kitani Xinshuo Weng VOT 333 41 0 23 Jun 2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao Leman Akoglu GNN 144 6 0 22 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 177 92 0 22 Jun 2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning Yecheng Lyu Ming Li Xinming Huang Ulkuhan Guler Patrick Schaumont Ziming Zhang GNN 164 13 0 21 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 129 30 0 18 Jun 2020
Quantifying Challenges in the Application of Graph Representation Learning Antonia Gogoglou C. Bayan Bruss Brian Nguyen Reza Sarshogh Keegan E. Hines 94 2 0 18 Jun 2020
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks Floris Geerts 170 8 0 16 Jun 2020
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 189 95 0 16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 294 503 0 16 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 117 23 0 14 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru Xingchen Wan Xiaowen Dong Michael A. Osborne 170 22 0 13 Jun 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature LearningComputer Vision and Pattern Recognition (CVPR), 2020 Xinshuo Weng Yongxin Wang Yunze Man Kris Kitani 3DPC VOT 250 241 0 12 Jun 2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks Katsuhiko Ishiguro Kenta Oono K. Hayashi GNN 120 4 0 12 Jun 2020
Deep learning of contagion dynamics on complex networks Charles Murphy Edward Laurence Antoine Allard GNN AI4CE 334 83 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 538 834 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 163 142 0 09 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 71 6 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui Jian Pei Xin Eric Wang Wenwu Zhu GNN 114 44 0 08 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 116 10 0 06 Jun 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 129 1 0 04 Jun 2020
How hard is to distinguish graphs with graph neural networks? Andreas Loukas GNN 219 6 0 13 May 2020
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks Ramin Hasibi T. Michoel AI4CE 44 1 0 08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 281 319 0 07 May 2020
Deep Constraint-based Propagation in Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 298 16 0 05 May 2020
Graph Homomorphism ConvolutionInternational Conference on Machine Learning (ICML), 2020 Hoang NT Takanori Maehara 212 45 0 03 May 2020
Multivariate Time Series Forecasting with Transfer Entropy GraphTsinghua Science and Technology (TST), 2020 Ziheng Duan Haoyan Xu Yida Huang Jie Feng Pengyu Song CML BDL AI4TS 255 50 0 03 May 2020
Hcore-Init: Neural Network Initialization based on Graph DegeneracyInternational Conference on Pattern Recognition (ICPR), 2020 Stratis Limnios George Dasoulas D. Thilikos Michalis Vazirgiannis GNN 79 11 0 16 Apr 2020