Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,065 papers shown

Title
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network Yining Hu Suranga Seneviratne Kanchana Thilakarathna K. Fukuda Aruna Seneviratne 21 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 25 85 0 24 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 14 21 0 21 Dec 2019
Community detection in node-attributed social networks: a survey Petr Chunaev 16 237 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 21 213 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 32 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 19 45 0 20 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 23 329 0 18 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin Guojie Song C. Shi 24 47 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 25 277 0 17 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 27 96 0 17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 29 388 0 16 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 32 249 0 15 Nov 2019
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 30 174 0 14 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 27 132 0 12 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 17 15 0 12 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 46 1,342 0 11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 33 12 0 08 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 22 815 0 08 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction Mustafa Coşkun GNN BDL 11 3 0 07 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets Meimei Liu Zhengwu Zhang David B. Dunson 13 4 0 07 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs Ruochi Zhang Yuesong Zou Jian Ma GNN 19 192 0 06 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 72 945 0 06 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 18 26 0 31 Oct 2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks Jingwen Wang Richard J. Chen Ming Y. Lu Alexander S. Baras Faisal Mahmood MedIm 30 57 0 29 Oct 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
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 32 629 0 28 Oct 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 45 370 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 50 686 0 28 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
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification Xiaochen Hou Jing Huang Guangtao Wang Xiaodong He Bowen Zhou 34 53 0 24 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 24 8 0 22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification Uchenna Akujuobi Yufei Han Qiannan Zhang Xiangliang Zhang 25 16 0 22 Oct 2019
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie Zhang 36 63 0 18 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 32 5 0 15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 19 216 0 12 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 19 14 0 10 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh V. Chawla Z. Li 56 162 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 22 24 0 07 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 32 105 0 06 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 41 262 0 06 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction Maosen Li Siheng Chen Xu Chen Ya Zhang Yanfeng Wang D. Ebert 3DH 21 185 0 05 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction Ling Cai Bo Yan Gengchen Mai K. Janowicz Rui Zhu GNN 22 75 0 01 Oct 2019