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
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 23 118 0 26 Jun 2020
Graph Structural-topic Neural Network Qingqing Long Yilun Jin Guojie Song Yi Li Wei Lin 13 47 0 25 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong MLT AI4CE 25 33 0 25 Jun 2020
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks Yongxin Wang Kris M. Kitani Xinshuo Weng VOT 35 39 0 23 Jun 2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao L. Akoglu GNN 6 5 0 22 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 30 86 0 22 Jun 2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning Yecheng Lyu Ming Li Xinming Huang Ulkuhan Guler Patrick Schaumont Ziming Zhang GNN 10 10 0 21 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 19 28 0 18 Jun 2020
Quantifying Challenges in the Application of Graph Representation Learning Antonia Gogoglou C. B. Bruss Brian Nguyen Reza Sarshogh Keegan E. Hines 8 2 0 18 Jun 2020
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks Floris Geerts 21 8 0 16 Jun 2020
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 16 85 0 16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 46 423 0 16 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru Xingchen Wan Xiaowen Dong Michael A. Osborne 17 21 0 13 Jun 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning Xinshuo Weng Yongxin Wang Yunze Man Kris M. Kitani 3DPC VOT 40 213 0 12 Jun 2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks Katsuhiko Ishiguro Kenta Oono K. Hayashi GNN 17 4 0 12 Jun 2020
Deep learning of contagion dynamics on complex networks Charles Murphy Edward Laurence Antoine Allard GNN AI4CE 8 68 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 15 660 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 17 119 0 09 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 9 6 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 34 29 0 08 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 26 8 0 06 Jun 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 14 1 0 04 Jun 2020
How hard is to distinguish graphs with graph neural networks? Andreas Loukas GNN 25 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 21 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 20 284 0 07 May 2020
Deep Constraint-based Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 14 13 0 05 May 2020
Graph Homomorphism Convolution Hoang NT Takanori Maehara 95 39 0 03 May 2020
Multivariate Time Series Forecasting with Transfer Entropy Graph Ziheng Duan Haoyan Xu Yida Huang Jie Feng Pengyu Song CML BDL AI4TS 17 36 0 03 May 2020
Hcore-Init: Neural Network Initialization based on Graph Degeneracy Stratis Limnios George Dasoulas D. Thilikos Michalis Vazirgiannis GNN 6 8 0 16 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 15 649 0 12 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework Floris Geerts Filip Mazowiecki Guillermo A. Pérez GNN 24 38 0 06 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 44 57 0 01 Apr 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 27 170 0 27 Mar 2020
A Collective Learning Framework to Boost GNN Expressiveness Mengyue Hang Jennifer Neville Bruno Ribeiro AI4CE 19 4 0 26 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end A. Nassar Stefano Dáronco Sébastien Lefèvre Jan Dirk Wegner ObjD 17 3 0 23 Mar 2020
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling Xinshuo Weng Ye Yuan Kris M. Kitani 18 32 0 17 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation Heng Chang Yu Rong Tingyang Xu Wenbing Huang Somayeh Sojoudi Junzhou Huang Wenwu Zhu GNN 47 32 0 16 Mar 2020
Universal Function Approximation on Graphs Rickard Brüel-Gabrielsson 16 6 0 14 Mar 2020
Evaluating Logical Generalization in Graph Neural Networks Koustuv Sinha Shagun Sodhani Joelle Pineau William L. Hamilton NAI AI4CE 38 23 0 14 Mar 2020
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen Laurent Jacob Julien Mairal GNN 8 53 0 11 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 184 171 0 09 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 40 846 0 06 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 19 10 0 02 Mar 2020
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 16 49 0 24 Feb 2020
Adaptive Propagation Graph Convolutional Network Indro Spinelli Simone Scardapane A. Uncini GNN 14 71 0 24 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 6 35 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 22 132 0 20 Feb 2020