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Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 6,267 papers shown

Title
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Helen Zhou AI4TS GNN 136 112 0 18 Apr 2019
Compositional Network Embedding Tianshu Lyu Fei Sun Peng Jiang Wenwu Ou Yan Zhang 93 0 0 17 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 437 1,249 0 17 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 148 8 0 17 Apr 2019
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice M. Das Yang Yu Devendra Singh Dhami Gautam Kunapuli Sriraam Natarajan 106 0 0 15 Apr 2019
GraphTSNE: A Visualization Technique for Graph-Structured Data Yao Yang Leow T. Laurent Xavier Bresson 63 20 0 15 Apr 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 160 374 0 12 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 130 51 0 09 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems Jiaxuan You Yichen Wang Aditya Pal Pong Eksombatchai C. Rosenberg J. Leskovec 148 137 0 08 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 389 1,499 0 07 Apr 2019
Learning to Cluster Faces on an Affinity Graph Lei Yang Xiaohang Zhan Dapeng Chen Junjie Yan Chen Change Loy Dahua Lin 3DH CVBM GNN 150 135 0 04 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 158 56 0 04 Apr 2019
Analyzing Learned Molecular Representations for Property Prediction Kevin Kaichuang Yang Kyle Swanson Wengong Jin Connor W. Coley Philipp Eiden ... Andrew Palmer Volker Settels Tommi Jaakkola K. Jensen Regina Barzilay 336 1,507 0 02 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Luke Huan Wei Wang 309 10 0 01 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 315 59 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 194 74 0 31 Mar 2019
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds Ali K. Thabet Humam Alwassel Guohao Li 3DPC 220 28 0 30 Mar 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System Adam Lerer Ledell Yu Wu Jiajun Shen Timothée Lacroix Luca Wehrstedt Abhijit Bose A. Peysakhovich GNN 334 402 0 28 Mar 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 236 462 0 28 Mar 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 245 459 0 28 Mar 2019
Linkage Based Face Clustering via Graph Convolution Network Zhongdao Wang Liang Zheng Yali Li Shengjin Wang 3DH CVBM GNN 163 183 0 27 Mar 2019
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents Xiaojing Liu Feiyu Gao Qiong Zhang Huasha Zhao 130 198 0 27 Mar 2019
MeshGAN: Non-linear 3D Morphable Models of Faces Shiyang Cheng M. Bronstein Yuxiang Zhou I. Kotsia Maja Pantic Stefanos Zafeiriou CVBM 3DH GAN 148 86 0 25 Mar 2019
A Comparative Study for Unsupervised Network Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Megha Khosla Vinay Setty Avishek Anand SSL 226 59 0 19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender SystemsThe Web Conference (WWW), 2019 Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 157 1,045 0 18 Mar 2019
Extrapolating paths with graph neural networksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Jean-Baptiste Cordonnier Andreas Loukas GNN 109 18 0 18 Mar 2019
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling Ting Yu Haoteng Yin Zhanxing Zhu AI4TS GNN 192 65 0 13 Mar 2019
Learning Edge Properties in Graphs from Path Aggregations Rakshit Agrawal Luca de Alfaro GNN FedML 81 6 0 11 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 145 160 0 11 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 158 35 0 11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 579 1,613 0 10 Mar 2019
Learning Heuristics over Large Graphs via Deep Reinforcement Learning S. Manchanda A. Mittal Anuj Dhawan Sourav Medya Jignesh M. Patel Ambuj K. Singh AI4CE GNN 235 94 0 08 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 98 14 0 06 Mar 2019
Relational Pooling for Graph Representations R. Murphy Ninad Kulkarni Vinayak A. Rao Bruno Ribeiro GNN 384 279 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 1.5K 4,973 0 06 Mar 2019
Graph Neural Networks for User Identity Linkage Wen Zhang Kai Shu Huan Liu Yalin Wang 80 34 0 06 Mar 2019
GAP: Generalizable Approximate Graph Partitioning Framework Azade Nazi W. Hang Anna Goldie Sujith Ravi Azalia Mirhoseini 158 66 0 02 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific LiteratureThe Web Conference (WWW), 2019 Robin Brochier 78 5 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node ClassificationChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2019 Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 231 27 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few LabelsAAAI Conference on Artificial Intelligence (AAAI), 2019 Ke Sun Zhouchen Lin Zhanxing Zhu SSL 276 291 0 28 Feb 2019
Representation Learning with Weighted Inner Product for Universal Approximation of General SimilaritiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Geewook Kim Akifumi Okuno Kazuki Fukui Hidetoshi Shimodaira 147 9 0 27 Feb 2019
Differentiable Scene GraphsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 379 34 0 26 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsAAAI Conference on Artificial Intelligence (AAAI), 2019 A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura Toyotaro Suzumura Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 333 1,277 0 26 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Ziyao Li Liang Zhang Guojie Song 116 19 0 26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 181 71 0 25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 239 38 0 23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Jialin Li Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 195 424 0 23 Feb 2019
Robust Graph Embedding with Noisy Link Weights Akifumi Okuno Hidetoshi Shimodaira NoLa 79 7 0 22 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 242 245 0 20 Feb 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Shucheng Zhou D. Yin 447 2,124 0 19 Feb 2019