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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
Learning Cross-Domain Representation with Multi-Graph Neural Network Ouyang Yi Bin Guo Xing Tang Xiuqiang He Jian Xiong Zhiwen Yu AI4CE 63 18 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 125 27 0 24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 72 233 0 23 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions Nuo Xu Peijie Wang Long Chen Jing Tao Junzhou Zhao GNN 90 94 0 23 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 146 434 0 23 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 78 158 0 21 May 2019
Joint embedding of structure and features via graph convolutional networks Sébastien Lerique Jacob Levy Abitbol M. Karsai GNN 48 30 0 21 May 2019
Marginalized Average Attentional Network for Weakly-Supervised Learning Yuan. Yuan Yueming Lyu Xi Shen Ivor W. Tsang Dit-Yan Yeung 75 82 0 21 May 2019
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 73 21 0 21 May 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 230 3,029 0 20 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 199 1,291 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 92 1,839 0 20 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 177 3 0 15 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 92 295 0 15 May 2019
Embeddings and Representation Learning for Structured Data Benjamin Paassen Claudio Gallicchio Alessio Micheli A. Sperduti 46 7 0 15 May 2019
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference Lukas Galke Iacopo Vagliano A. Scherp CLL GNN OnRL AI4CE 56 10 0 15 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 71 83 0 14 May 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification Sheng Wan Chen Gong P. Zhong Bo Du Lefei Zhang Jian Yang 69 371 0 14 May 2019
Correlated Variational Auto-Encoders Da Tang Dawen Liang Tony Jebara Nicholas Ruozzi CML GNN 69 21 0 14 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 78 205 0 13 May 2019
Can NetGAN be improved on short random walks? Amir Jalilifard Vinicius Fernandes Caridá Alex F. Mansano Rogers Cristo 25 3 0 13 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lio GNN 66 19 0 12 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 88 26 0 11 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 110 88 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 142 1,096 0 11 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems Hongwei Wang Fuzheng Zhang Mengdi Zhang J. Leskovec Miao Zhao Wenjie Li Zhongyuan Wang 94 554 0 11 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 106 72 0 10 May 2019
Adversarial Defense Framework for Graph Neural Network Shen Wang Zhengzhang Chen Jingchao Ni Xiao Yu Zhichun Li Haifeng Chen Philip S. Yu AAML GNN 71 28 0 09 May 2019
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets G. Vivar Hendrik Burwinkel Anees Kazi A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 55 3 0 08 May 2019
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks Hendrik Burwinkel Anees Kazi G. Vivar Shadi Albarqouni G. Zahnd Nassir Navab Seyed-Ahmad Ahmadi AI4CE 90 15 0 08 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 98 435 0 05 May 2019
Learning Graph Neural Networks with Noisy Labels Hoang NT C. J. Jin T. Murata NoLa 55 50 0 05 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 104 458 0 04 May 2019
Temporal Graph Convolutional Networks for Automatic Seizure Detection Ian Covert B. Krishnan I. Najm Jiening Zhan Matthew Shore J. Hixson M. Po 60 71 0 03 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 129 159 0 03 May 2019
On the Use of ArXiv as a Dataset Colin B. Clement Matthew Bierbaum K. O’Keeffe Alexander A. Alemi AI4CE 398 133 0 30 Apr 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 187 338 0 30 Apr 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Kyunghyun Cho Joan Bruna 51 26 0 29 Apr 2019
A Deep Generative Model for Graph Layout Oh-Hyun Kwon K. Ma DRL GNN 79 49 0 27 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 145 125 0 27 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 100 238 0 26 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 120 203 0 24 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 72 24 0 24 Apr 2019
Learning Actor Relation Graphs for Group Activity Recognition Jianchao Wu Limin Wang Li Wang Jie Guo Gangshan Wu 74 242 0 23 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 94 490 0 22 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 96 101 0 22 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 52 57 0 21 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network Xingjian Du Xuan Shi Risheng Huang ObjD 32 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 69 22 0 18 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Helen Zhou AI4TS GNN 64 106 0 18 Apr 2019