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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach D. Tam Wing Cheong Lau Bin Hu Qiufang Ying D. Chiu Hong Liu GNN 76 21 0 13 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 90 21 0 13 Jun 2019
Multiple instance learning with graph neural networks Ming Tu Jing Huang Xiaodong He Bowen Zhou 73 59 0 12 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules Wengong Jin Regina Barzilay Tommi Jaakkola 55 16 0 11 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 106 499 0 11 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer Edward Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 88 246 0 11 Jun 2019
Attacking Graph Convolutional Networks via Rewiring Yao Ma Suhang Wang Tyler Derr Lingfei Wu Jiliang Tang AAML GNN 64 84 0 10 Jun 2019
Redundancy-Free Computation Graphs for Graph Neural Networks Zhihao Jia Sina Lin Rex Ying Jiaxuan You J. Leskovec Alexander Aiken GNN 52 11 0 09 Jun 2019
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling Hao Peng Jianxin Li Haozheng Yan Qiran Gong Senzhang Wang Lin Liu Lihong Wang Xiang Ren 58 33 0 09 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 78 61 0 08 Jun 2019
Labeled Graph Generative Adversarial Networks Shuangfei Fan Bert Huang GAN 68 30 0 07 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 86 12 0 07 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 163 201 0 05 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 95 157 0 05 Jun 2019
Can Graph Neural Networks Help Logic Reasoning? Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo Li Yuan Qi Le Song NAI AI4CE 81 13 0 05 Jun 2019
Information Competing Process for Learning Diversified Representations Jie Hu Rongrong Ji Shengchuan Zhang Xiaoshuai Sun QiXiang Ye Chia-Wen Lin Q. Tian 208 14 0 04 Jun 2019
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model Wei Li Jingjing Xu Yancheng He Shengli Yan Yunfang Wu Xu Sun 80 47 0 04 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson GNN 124 378 0 04 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 83 79 0 03 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 98 119 0 02 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 117 2,210 0 31 May 2019
End to end learning and optimization on graphs Bryan Wilder Eric Ewing B. Dilkina Milind Tambe GNN 86 107 0 31 May 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 68 44 0 31 May 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 178 272 0 31 May 2019
Discriminative structural graph classification Younjoo Seo Andreas Loukas Nathanael Perraudin 77 19 0 31 May 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 142 276 0 30 May 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 96 165 0 30 May 2019
Quantifying the Alignment of Graph and Features in Deep Learning Yifan Qian P. Expert Tom Rieu P. Panzarasa Mauricio Barahona 67 19 0 30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 116 283 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 133 1,424 0 29 May 2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering Liwei Wu Hsiang-Fu Yu Nikhil S. Rao James Sharpnack Cho-Jui Hsieh GNN 36 10 0 29 May 2019
Sublinear Update Time Randomized Algorithms for Dynamic Graph Regression M. H. Chehreghani 41 1 0 28 May 2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network Kun Xu Liwei Wang Mo Yu Yansong Feng Yan Song Zhiguo Wang Dong Yu 149 238 0 28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 177 34 0 28 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 105 464 0 27 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 80 26 0 27 May 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 63 228 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 148 583 0 27 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 79 119 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 125 102 0 27 May 2019
Edge Contraction Pooling for Graph Neural Networks Frederik Diehl GNN 165 131 0 27 May 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 86 68 0 26 May 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning Jiaqi Ma Weijing Tang Ji Zhu Qiaozhu Mei BDL 62 63 0 26 May 2019
Graph Attention Auto-Encoders Amin Salehi H. Davulcu GNN 72 125 0 26 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding Doyup Lee Suehun Jung Yeongjae Cheon Dongil Kim Seungil You AI4TS 56 6 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 116 259 0 25 May 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou Helen Zhou 84 86 0 25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 77 68 0 24 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato M. Yamada H. Kashima GNN 123 128 0 24 May 2019
Low-dimensional statistical manifold embedding of directed graphs Thorben Funke Tian Guo Alen Lancic Nino Antulov-Fantulin 61 4 0 24 May 2019