Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 37 198 0 24 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 24 24 0 24 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 21 479 0 22 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network Xingjian Du Xuan Shi Risheng Huang ObjD 25 8 0 18 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 32 22 0 18 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 19 47 0 09 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 30 50 0 04 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 31 48 0 31 Mar 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 42 57 0 31 Mar 2019
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds Ali K. Thabet Humam Alwassel Guohao Li 3DPC 39 28 0 30 Mar 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 30 410 0 28 Mar 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 26 407 0 28 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 26 54 0 19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 27 912 0 18 Mar 2019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction Anees Kazi Shayan Shekarforoush S. Krishna Hendrik Burwinkel G. Vivar K. Kortüm Seyed-Ahmad Ahmadi Shadi Albarqouni Nassir Navab GNN MedIm 21 146 0 11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 37 1,291 0 10 Mar 2019
Learning Heuristics over Large Graphs via Deep Reinforcement Learning S. Manchanda A. Mittal Anuj Dhawan Sourav Medya Sayan Ranu Ambuj K. Singh AI4CE GNN 30 86 0 08 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 258 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,264 0 06 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 19 5 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 34 24 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 56 273 0 28 Feb 2019
Differentiable Scene Graphs Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 32 34 0 26 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 52 1,045 0 26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 64 0 25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 34 36 0 23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 39 386 0 23 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 87 1,863 0 19 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 95 3,122 0 19 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 23 56 0 11 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 27 44 0 01 Feb 2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding Bin Kong Xin Wang Junjie Bai Yi Lu Feng Gao K. Cao Qi Song Shaoting Zhang Siwei Lyu Youbing Yin 36 3 0 29 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 34 1 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 31 614 0 23 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 21 19 0 14 Jan 2019
Attributed Network Embedding via Subspace Discovery Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 38 48 0 14 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 172 8,408 0 03 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 23 276 0 26 Dec 2018
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 44 158 0 22 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 27 119 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 45 5,431 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 59 1,322 0 11 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 38 224 0 03 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy Yanning Shen G. Leus G. Giannakis 30 32 0 03 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 2018