Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,315 papers shown

Title
Multiple instance learning with graph neural networks Ming Tu Jing Huang Xiaodong He Bowen Zhou 17 59 0 12 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 33 490 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 24 238 0 11 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 30 60 0 08 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 27 196 0 05 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 34 155 0 05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 29 10 0 05 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 19 47 0 04 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson GNN 28 358 0 04 Jun 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 27 78 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 36 115 0 02 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 22 2,110 0 31 May 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 33 264 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 23 271 0 30 May 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 27 155 0 30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 275 0 29 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 10 235 0 28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 27 34 0 28 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 29 26 0 27 May 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 29 225 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 25 568 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 21 114 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 22 96 0 27 May 2019
Edge Contraction Pooling for Graph Neural Networks Frederik Diehl GNN 21 129 0 27 May 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 26 66 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 33 256 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 Xia Hu 30 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 30 66 0 24 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato M. Yamada H. Kashima GNN 33 127 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 24 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 24 226 0 23 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 33 420 0 23 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 69 1,259 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 32 1,795 0 20 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 37 80 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 30 360 0 14 May 2019
Correlated Variational Auto-Encoders Da Tang Dawen Liang Tony Jebara Nicholas Ruozzi CML GNN 24 21 0 14 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 30 203 0 13 May 2019
Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns Oleksii Sidorov J. Hardeberg 22 4 0 13 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lio GNN 25 19 0 12 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 25 26 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 39 1,066 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 26 71 0 10 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 29 428 0 05 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 37 154 0 03 May 2019
On the Use of ArXiv as a Dataset Colin B. Clement Matthew Bierbaum K. O’Keeffe Alexander A. Alemi AI4CE 16 129 0 30 Apr 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 36 120 0 27 Apr 2019
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