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
Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks Balasubramaniam Srinivasan Da Zheng George Karypis GNN 10 20 0 19 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 138 96 0 10 Jan 2021
LookHops: light multi-order convolution and pooling for graph classification Zhangyang Gao Haitao Lin Stan. Z Li 19 6 0 28 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 16 3 0 20 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen Yankai Lin Lei Li Xuancheng Ren Peng Li Jie Zhou Xu Sun 24 5 0 14 Dec 2020
Breaking the Expressive Bottlenecks of Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 20 10 0 14 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 24 0 0 13 Dec 2020
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results B. Tahmasebi Derek Lim Stefanie Jegelka GNN 32 30 0 06 Dec 2020
Graph convolutions that can finally model local structure Rémy Brossard Oriel Frigo David Dehaene GNN 31 48 0 30 Nov 2020
Message Passing Networks for Molecules with Tetrahedral Chirality L. Pattanaik O. Ganea Ian Coley K. Jensen W. Green Connor W. Coley GNN 19 23 0 24 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 24 315 0 17 Nov 2020
Explaining Deep Graph Networks with Molecular Counterfactuals Danilo Numeroso D. Bacciu 13 10 0 09 Nov 2020
Automorphic Equivalence-aware Graph Neural Network Fengli Xu Quanming Yao Pan Hui Yong Li 20 5 0 09 Nov 2020
Learning with Molecules beyond Graph Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI GNN 19 3 0 06 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 19 186 0 30 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 21 44 0 28 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 22 9 0 26 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks Xiaodong Jiang Ronghang Zhu Pengsheng Ji Sheng R. Li GNN 14 74 0 25 Oct 2020
A Simple Spectral Failure Mode for Graph Convolutional Networks Carey E. Priebe Cencheng Shen Ningyuan Huang Tianyi Chen GNN 14 7 0 25 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan L. Vig NAI 27 25 0 23 Oct 2020
Rethinking pooling in graph neural networks Diego Mesquita Amauri Souza Samuel Kaski GNN AI4CE 20 116 0 22 Oct 2020
Neuralizing Efficient Higher-order Belief Propagation Mohammed Haroon Dupty W. Lee 27 7 0 19 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 169 123 0 17 Oct 2020
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling Ziheng Duan Haoyan Xu Yueyang Wang Yida Huang Anni Ren Qianru Zhang Yizhou Sun Wei Wang AI4TS 8 57 0 12 Oct 2020
Towards Expressive Graph Representation Chengsheng Mao Liang Yao Yuan Luo 26 2 0 12 Oct 2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation Yan Zhang Zhijiang Guo Zhiyang Teng Wei Lu Shay B. Cohen Zuozhu Liu Lidong Bing GNN 24 18 0 09 Oct 2020
High-Order Relation Construction and Mining for Graph Matching Hui Xu Liyao Xiang Youmin Le Xiaoying Gan Yuting Jia Luoyi Fu Xinbing Wang 19 1 0 09 Oct 2020
Unsupervised Joint $k$ -node Graph Representations with Compositional Energy-Based Models Leonardo Cotta Carlos H. C. Teixeira A. Swami Bruno Ribeiro SSL 6 9 0 08 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 16 215 0 02 Oct 2020
Efficient Colon Cancer Grading with Graph Neural Networks Franziska Lippoldt GNN MedIm 16 2 0 02 Oct 2020
Learning Concepts Described by Weight Aggregation Logic Steffen van Bergerem Nicole Schweikardt 9 12 0 22 Sep 2020
Transfer Graph Neural Networks for Pandemic Forecasting G. Panagopoulos Giannis Nikolentzos Michalis Vazirgiannis 11 7 0 10 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 21 2 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 20 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 6 0 0 21 Aug 2020
PiNet: Attention Pooling for Graph Classification Peter Meltzer Marcelo Daniel Gutierrez Mallea Peter J Bentley GNN 11 3 0 11 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng Zichen Miao Qiang Qiu GNN 14 0 0 04 Aug 2020
The Complexity of the Distributed Constraint Satisfaction Problem Silvia Butti V. Dalmau 8 9 0 27 Jul 2020
Multi-view adaptive graph convolutions for graph classification Nikolas Adaloglou N. Vretos P. Daras 13 10 0 24 Jul 2020
The expressive power of kth-order invariant graph networks Floris Geerts 126 37 0 23 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 6 3 0 19 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 18 43 0 16 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 38 17 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 23 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 14 3 0 07 Jul 2020
Neural Subgraph Matching Rex Ying Ying Zhaoyu Lou Jiaxuan You Chengtao Wen A. Canedo J. Leskovec GNN 14 85 0 06 Jul 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution C. Damke Vitali M. Melnikov Eyke Hüllermeier GNN 4 14 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 6 0 0 29 Jun 2020