v1v2v3v4v5 (latest)

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
Principal Neighbourhood Aggregation for Graph NetsNeural Information Processing Systems (NeurIPS), 2020 Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 616 759 0 12 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing FrameworkInternational Conference on Machine Learning (ICML), 2020 Floris Geerts Filip Mazowiecki Guillermo A. Pérez GNN 173 41 0 06 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Luke Huan Jiawei Han AI4TS 391 58 0 01 Apr 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured DataACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), 2020 Martin Grohe 158 204 0 27 Mar 2020
A Collective Learning Framework to Boost GNN Expressiveness Mengyue Hang Jennifer Neville Bruno Ribeiro AI4CE 195 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 141 4 0 23 Mar 2020
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling Xinshuo Weng Ye Yuan Kris Kitani 152 35 0 17 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximationInternational Conference on Information and Knowledge Management (CIKM), 2020 Heng Chang Yu Rong Qifeng Bai Wenbing Huang Somayeh Sojoudi Junzhou Huang Wenwu Zhu GNN 171 39 0 16 Mar 2020
Universal Function Approximation on GraphsNeural Information Processing Systems (NeurIPS), 2020 Rickard Brüel-Gabrielsson 143 6 0 14 Mar 2020
Evaluating Logical Generalization in Graph Neural Networks Koustuv Sinha Shagun Sodhani Joelle Pineau William L. Hamilton NAI AI4CE 170 23 0 14 Mar 2020
Convolutional Kernel Networks for Graph-Structured DataInternational Conference on Machine Learning (ICML), 2020 Dexiong Chen Laurent Jacob Julien Mairal GNN 263 64 0 11 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 623 191 0 09 Mar 2020
Directional Message Passing for Molecular GraphsInternational Conference on Learning Representations (ICLR), 2020 Johannes Klicpera Janek Groß Stephan Günnemann 494 988 0 06 Mar 2020
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023 Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 1.2K 1,082 0 02 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic GraphsInternational Conference on Artificial Neural Networks (ICANN), 2020 Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 410 14 0 02 Mar 2020
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 218 51 0 24 Feb 2020
Adaptive Propagation Graph Convolutional NetworkIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Indro Spinelli Simone Scardapane A. Uncini GNN 275 91 0 24 Feb 2020
Memory-Based Graph NetworksInternational Conference on Learning Representations (ICLR), 2020 Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 271 98 0 21 Feb 2020
Set2Graph: Learning Graphs From SetsNeural Information Processing Systems (NeurIPS), 2020 Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 322 36 0 20 Feb 2020
On Learning Sets of Symmetric ElementsInternational Conference on Machine Learning (ICML), 2020 Haggai Maron Or Litany Gal Chechik Ethan Fetaya 281 143 0 20 Feb 2020
Causal Inference under Networked Interference and Intervention Policy EnhancementInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Yunpu Ma Volker Tresp CML 160 46 0 20 Feb 2020
Generalization and Representational Limits of Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2020 Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 248 342 0 14 Feb 2020
Can Graph Neural Networks Count Substructures?Neural Information Processing Systems (NeurIPS), 2020 Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 419 354 0 10 Feb 2020
Random Features Strengthen Graph Neural NetworksSDM (SDM), 2020 Ryoma Sato M. Yamada H. Kashima GNN AAML 283 260 0 08 Feb 2020
Distance Metric Learning for Graph Structured DataMachine-mediated learning (ML), 2020 Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 230 13 0 03 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks Eliya Nachmani Lior Wolf GNN 177 15 0 01 Feb 2020
Deep Graph Matching ConsensusInternational Conference on Learning Representations (ICLR), 2020 Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 151 221 0 27 Jan 2020
Theoretically Expressive and Edge-aware Graph LearningThe European Symposium on Artificial Neural Networks (ESANN), 2020 Federico Errica D. Bacciu Alessio Micheli 88 6 0 24 Jan 2020
EdgeNets:Edge Varying Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 164 90 0 21 Jan 2020
Predicting Attributes of Nodes Using Network StructureACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019 Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 171 31 0 27 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal TransportAAAI Conference on Artificial Intelligence (AAAI), 2019 Tengfei Ma Jie Chen 135 25 0 24 Dec 2019
Multi-Channel Graph Convolutional Networks Kaixiong Zhou Qingquan Song Xiao Shi Huang Daochen Zha Na Zou Helen Zhou 102 7 0 17 Dec 2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood AggregationAAAI Conference on Artificial Intelligence (AAAI), 2019 Zequn Sun Chengming Wang Wei Hu Muhao Chen Jian Dai Wei Zhang Yuzhong Qu 158 361 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 129 17 0 20 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2019 Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 372 370 0 18 Nov 2019
GraLSP: Graph Neural Networks with Local Structural PatternsAAAI Conference on Artificial Intelligence (AAAI), 2019 Yilun Jin Guojie Song C. Shi 150 54 0 18 Nov 2019
Hierarchical Graph Pooling with Structure LearningAAAI Conference on Artificial Intelligence (AAAI), 2019 Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 227 195 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 136 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 125 2 0 10 Nov 2019
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov Evgeny Burnaev FaML AI4CE 221 41 0 26 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 99 5 0 15 Oct 2019
Temporal Graph Kernels for Classifying Dissemination ProcessesSDM (SDM), 2019 Lutz Oettershagen Nils M. Kriege Christopher Morris Petra Mutzel 152 24 0 14 Oct 2019
Graph Few-shot Learning via Knowledge TransferAAAI Conference on Artificial Intelligence (AAAI), 2019 Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Ruoyao Xiao 269 181 0 07 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph RepresentationsInternational Conference on Learning Representations (ICLR), 2019 Ninad Kulkarni Bruno Ribeiro 221 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 96 0 0 26 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological ViewAAAI Conference on Artificial Intelligence (AAAI), 2019 Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 169 1,252 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph ClassificationACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019 Cheolhyeong Kim Haeseong Moon H. Hwang GNN 165 7 0 06 Sep 2019
Spectral-based Graph Convolutional Network for Directed Graphs Yi Ma Jianye Hao Yaodong Yang Han Li Junqi Jin Guangyong Chen GNN BDL 107 82 0 21 Jul 2019
k-hop Graph Neural NetworksNeural Networks (NN), 2019 Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 185 123 0 13 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph TopologyNeural Information Processing Systems (NeurIPS), 2019 Nima Dehmamy Albert-László Barabási Rose Yu GNN 191 148 0 11 Jul 2019