Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,515 papers shown

Title
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 35 167 0 17 Feb 2020
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 33 2 0 16 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 31 306 0 14 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lio GNN 27 15 0 11 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 67 321 0 10 Feb 2020
Relation Embedding for Personalised POI Recommendation Xianjing Wang Flora D. Salim Yongli Ren Piotr Koniusz 24 12 0 09 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 31 32 0 09 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 42 279 0 08 Feb 2020
Message Passing Query Embedding Daniel Daza Michael Cochez GNN 36 7 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 41 6 0 05 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 48 846 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 75 569 0 04 Feb 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 26 62 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 31 33 0 29 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 36 497 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 32 74 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 71 430 0 26 Jan 2020
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks Jihoon Ko Kyuhan Lee Kijung Shin Noseong Park 35 3 0 24 Jan 2020
GraphBGS: Background Subtraction via Recovery of Graph Signals Jhony H. Giraldo T. Bouwmans 34 24 0 17 Jan 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian Xi Xiao Tingyang Xu P. Zhao Wenbing Huang Yu Rong Junzhou Huang GNN 25 590 0 17 Jan 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 42 348 0 17 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better Pushkar Mishra Aleksandra Piktus Gerard Goossen Fabrizio Silvestri AI4CE 38 14 0 17 Jan 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 29 30 0 17 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 36 300 0 15 Jan 2020
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network Zhiwei Liu Mengting Wan Stephen D. Guo Kannan Achan Philip S. Yu 31 68 0 14 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 33 289 0 07 Jan 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats Xueyuan Han Thomas Pasquier Adam Bates James W. Mickens Margo Seltzer 42 270 0 06 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network H. Dai Chengtao Li Connor W. Coley Bo Dai Le Song 35 180 0 06 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks Zhiyong Dou Haotian Cui Lin Zhang Bo Wang DiffM GNN 18 6 0 05 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 36 23 0 02 Jan 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction Aravind Sankar Xinyang Zhang A. Krishnan Jiawei Han GNN 27 81 0 01 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 22 126 0 31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 56 279 0 29 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 26 10 0 27 Dec 2019
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 20 31 0 27 Dec 2019
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network Yining Hu Suranga Seneviratne Kanchana Thilakarathna K. Fukuda Aruna Seneviratne 29 52 0 27 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 28 78 0 25 Dec 2019
Multi-Graph Transformer for Free-Hand Sketch Recognition Peng Xu Chaitanya K. Joshi Xavier Bresson ViT 32 85 0 24 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 23 21 0 21 Dec 2019
Community detection in node-attributed social networks: a survey Petr Chunaev 35 237 0 20 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 27 213 0 19 Dec 2019
Multi-Channel Graph Convolutional Networks Kaixiong Zhou Qingquan Song Xiao Shi Huang Daochen Zha Na Zou Xia Hu 22 6 0 17 Dec 2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks S. Bandyopadhyay Anirban Biswas Narasimha M. Murty Ramasuri Narayanam GNN 37 16 0 11 Dec 2019
Dual-Attention Graph Convolutional Network Xueyao Zhang Tong Zhang Wenting Zhao Zhen Cui Jian Yang GNN 25 8 0 28 Nov 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting Weiqiu Chen Ling Chen Yu Xie Wei Cao Yusong Gao Xiaojie Feng AI4TS 30 291 0 27 Nov 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 30 94 0 26 Nov 2019
On Node Features for Graph Neural Networks Chi Thang Duong Thanh Dat Hoang Haikun Dang Quoc Viet Hung Nguyen Karl Aberer GNN 27 45 0 20 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 23 330 0 18 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 30 48 0 18 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 40 280 0 17 Nov 2019