Position-aware Graph Neural Networks

11 June 2019

Papers citing "Position-aware Graph Neural Networks"

45 / 245 papers shown

Title
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark J. Coates CLL 17 79 0 25 Aug 2020
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations Sunil Nishad Shubhangi Agarwal A. Bhattacharya Sayan Ranu GNN 14 20 0 19 Aug 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 14 3 0 19 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information Yu Hao Xin Cao Yixiang Fang Xike Xie Sibo Wang 22 76 0 16 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 27 137 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 26 2 0 13 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 33 480 0 05 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 34 259 0 30 Jun 2020
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 31 119 0 26 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 29 134 0 18 Jun 2020
Isometric Graph Neural Networks Matthew Walker Bo Yan Yiou Xiao Yafei Wang Ayan Acharya GNN 22 2 0 16 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,275 0 10 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 17 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 42 29 0 08 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 286 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 58 2,663 0 02 May 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 27 655 0 12 Apr 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 65 47 0 22 Mar 2020
Learning to simulate and design for structural engineering Kai-Hung Chang Chin-Yi Cheng AI4CE 38 49 0 20 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 35 11 0 07 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 918 0 02 Mar 2020
Permutohedral-GCN: Graph Convolutional Networks with Global Attention Hesham Mostafa Marcel Nassar 26 7 0 02 Mar 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine P. Corcoran 18 5 0 29 Feb 2020
Data Augmentation for Personal Knowledge Base Population Lingraj S. Vannur Balaji Ganesan Lokesh Nagalapatti Hima Patel MN Thippeswamy 14 5 0 23 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas K. Garg Stefanie Jegelka Tommi Jaakkola GNN 26 304 0 14 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 59 321 0 10 Feb 2020
GLSearch: Maximum Common Subgraph Detection via Learning to Search Yunsheng Bai Derek Xu Yizhou Sun Wei Wang GNN 20 32 0 08 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 43 844 0 05 Feb 2020
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction Se-eun Yoon Hyungseok Song Kijung Shin Yung Yi 12 75 0 30 Jan 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network Jiaming Shen Zhihong Shen Chenyan Xiong Chi Wang Kuansan Wang Jiawei Han 27 74 0 26 Jan 2020
A Neural Architecture for Person Ontology population Balaji Ganesan Riddhiman Dasgupta Akshay Parekh Hima Patel B. Reinwald 19 6 0 22 Jan 2020
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 14 21 0 21 Dec 2019
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 27 35 0 29 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 33 164 0 23 Oct 2019
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure Tony Duan Juho Lee GNN BDL CML 19 2 0 17 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 19 27 0 01 Oct 2019
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better Yaping Zheng Shiyi Chen Xinni Zhang Xiaofeng Zhang Xiaofei Yang Di Wang 16 5 0 23 Sep 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 275 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 17 1,363 0 29 May 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 18 58 0 06 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 37 1,289 0 10 Mar 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 886 0 07 Jun 2018