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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Advances in Collaborative Filtering and Ranking Liwei Wu 52 7 0 27 Feb 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures Jatin Chauhan Deepak Nathani Manohar Kaul 73 70 0 27 Feb 2020
DSSLP: A Distributed Framework for Semi-supervised Link Prediction Dalong Zhang Xianzheng Song Ziqi Liu Qing Cui Xin Huang Lin Wang Jun Zhou 28 4 0 27 Feb 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 55 39 0 27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 87 46 0 27 Feb 2020
Dual Graph Representation Learning Huiling Zhu Xin Luo Hankui Zhuo GNN 34 0 0 25 Feb 2020
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 113 50 0 24 Feb 2020
One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks Xuhong Wang Baihong Jin Ying Du Ping Cui Yupu Yang GNN 67 9 0 22 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 163 91 0 21 Feb 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 77 388 0 20 Feb 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network Yuanyuan Jin Wei Zhang Xiangnan He Xinyu Wang Xiao-le Wang 51 52 0 20 Feb 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 90 41 0 20 Feb 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 127 25 0 19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 155 37 0 19 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 116 639 0 19 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs Han Yang Xiao Yan XINYAN DAI Yongqiang Chen James Cheng 131 36 0 18 Feb 2020
Adversarial Deep Network Embedding for Cross-network Node Classification X. Shen Quanyu Dai K. F. Chung Wei Lu K. Choi 88 83 0 18 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 99 32 0 17 Feb 2020
Relational Message Passing for Knowledge Graph Completion Hongwei Wang Hongyu Ren J. Leskovec 88 120 0 17 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 104 172 0 17 Feb 2020
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 53 2 0 16 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 122 314 0 14 Feb 2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Xiao Zang Yi Xie Jie Chen Bo Yuan AAML 76 48 0 12 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 106 133 0 11 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lio GNN 81 15 0 11 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 157 331 0 10 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu Fuli Feng Xiangnan He Xiang Wang Yan Li Kai Zheng Yongdong Zhang 42 3 0 10 Feb 2020
Relation Embedding for Personalised POI Recommendation Xianjing Wang Flora D. Salim Yongli Ren Piotr Koniusz 67 12 0 09 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 120 32 0 09 Feb 2020
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks Shushan Arakelyan Sima Arasteh Christophe Hauser Erik Kline Aram Galstyan 83 20 0 09 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 138 289 0 08 Feb 2020
Message Passing Query Embedding Daniel Daza Michael Cochez GNN 76 7 0 06 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 213 3,733 0 06 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks Milan Cvitkovic 73 44 0 06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 86 6 0 05 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 141 887 0 05 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 170 588 0 04 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks Eliya Nachmani Lior Wolf GNN 54 15 0 01 Feb 2020
Graph Convolution Machine for Context-aware Recommender System Jiancan Wu Xiangnan He Xiang Wang Qifan Wang Weijia Chen Jianxun Lian Xing Xie GNN 72 71 0 30 Jan 2020
Structure-Feature based Graph Self-adaptive Pooling Liang Zhang Xudong Wang Hongsheng Li Guangming Zhu Peiyi Shen P. Li Xiaoyuan Lu Syed Afaq Ali Shah Bennamoun 68 64 0 30 Jan 2020
Which way? Direction-Aware Attributed Graph Embedding Zekarias T. Kefato Nasrullah Sheikh A. Montresor 3DV 23 3 0 30 Jan 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino Adria Puigdomenech Badia Raphael Köster Martin Chadwick V. Zambaldi Demis Hassabis Caswell Barry M. Botvinick D. Kumaran Charles Blundell KELM 87 35 0 29 Jan 2020
Graph Neighborhood Attentive Pooling Zekarias T. Kefato Sarunas Girdzijauskas GNN 55 6 0 28 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 105 505 0 28 Jan 2020
Characterizing and Understanding GCNs on GPU Yurui Lai Zhaodong Chen Lei Deng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie BDL GNN 69 64 0 28 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 83 78 0 26 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 254 439 0 26 Jan 2020
Towards Graph Representation Learning in Emergent Communication Agnieszka Słowik Abhinav Gupta William L. Hamilton M. Jamnik S. Holden 129 4 0 24 Jan 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 106 82 0 21 Jan 2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN 63 48 0 21 Jan 2020