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
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 25 40 0 20 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas K. Garg Stefanie Jegelka Tommi Jaakkola GNN 26 302 0 14 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 51 319 0 10 Feb 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 13 230 0 08 Feb 2020
Distance Metric Learning for Graph Structured Data Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 14 12 0 03 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks Eliya Nachmani Lior Wolf GNN 11 15 0 01 Feb 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 30 207 0 27 Jan 2020
Theoretically Expressive and Edge-aware Graph Learning Federico Errica D. Bacciu A. Micheli 9 6 0 24 Jan 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 29 80 0 21 Jan 2020
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 13 31 0 27 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 19 24 0 24 Dec 2019
Multi-Channel Graph Convolutional Networks Kaixiong Zhou Qingquan Song Xiao Shi Huang Daochen Zha Na Zou Xia Hu 14 6 0 17 Dec 2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation Zequn Sun Chengming Wang Wei Hu Muhao Chen Jian Dai Wei Zhang Yuzhong Qu 25 322 0 20 Nov 2019
Hierarchical Attention Networks for Medical Image Segmentation Fei Ding Gang Yang Jinlu Liu Jun Wu Dayong Ding Jie Xu Gangwei Cheng Xirong Li 9 16 0 20 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 13 328 0 18 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 19 47 0 18 Nov 2019
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 27 174 0 14 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features M. Li Meng Dong Jiawei Zhou Alexander M. Rush AI4CE GNN 28 7 0 13 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network Deli Chen Xiaoqian Liu Yankai Lin Peng Li Jie Zhou Qi Su Xu Sun GNN 17 2 0 10 Nov 2019
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov E. Burnaev FaML AI4CE 19 37 0 26 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 24 5 0 15 Oct 2019
Temporal Graph Kernels for Classifying Dissemination Processes Lutz Oettershagen Nils M. Kriege Christopher Morris Petra Mutzel 22 21 0 14 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng-Long Jiang Suhang Wang Junzhou Huang Nitesh V. Chawla Z. Li 45 162 0 07 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 21 0 0 26 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 28 1,079 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 17 5 0 06 Sep 2019
Spectral-based Graph Convolutional Network for Directed Graphs Y. Ma Jianye Hao Yaodong Yang Han Li Junqi Jin Guangyong Chen GNN BDL 13 73 0 21 Jul 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 21 104 0 13 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology Nima Dehmamy Albert-László Barabási Rose Yu GNN 22 131 0 11 Jul 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 11 293 0 06 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation Shuo-feng Zhang Lei Xie GNN 23 55 0 04 Jul 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks Xing Gao H. Xiong P. Frossard 19 41 0 01 Jul 2019
Factor Graph Neural Network Zhen Zhang Fan Wu Wee Sun Lee GNN 14 18 0 03 Jun 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 274 0 29 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 18 445 0 27 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 17 26 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 22 562 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Alexander Rieck Marc Niethammer Roland Kwitt 14 96 0 27 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 63 509 0 29 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 27 117 0 27 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 9 57 0 21 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs Guillaume Jaume An-phi Nguyen María Rodríguez Martínez Jean-Philippe Thiran M. Gabrani 19 22 0 18 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 11 1,105 0 17 Apr 2019
Deep Iterative Surface Normal Estimation J. E. Lenssen Christian Osendorfer Jonathan Masci 3DPC 18 1 0 15 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 16 47 0 09 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 8 58 0 06 Apr 2019
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting Ralph Abboud .Ismail .Ilkan Ceylan Thomas Lukasiewicz 15 28 0 04 Apr 2019
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings Christopher Morris Gaurav Rattan Petra Mutzel 19 13 0 02 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 19 48 0 31 Mar 2019