Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,065 papers shown

Title
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
Learning Category Correlations for Multi-label Image Recognition with Graph Networks Qing Li Xiaojiang Peng Yu Qiao Qiang Peng 34 22 0 28 Sep 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 2019
Quantum Graph Neural Networks Guillaume Verdon Trevor McCourt Enxhell Luzhnica Vikas Singh Stefan Leichenauer Jack Hidary GNN 23 105 0 26 Sep 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network Sheng Wan Chen Gong P. Zhong Shirui Pan Guangyu Li Jian Yang 26 145 0 26 Sep 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 34 63 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Spatial Graph Convolutional Networks Tomasz Danel Przemysław Spurek Jacek Tabor Marek Śmieja Lukasz Struski Agnieszka Słowik Lukasz Maziarka GNN 32 10 0 11 Sep 2019
Jointly embedding the local and global relations of heterogeneous graph for rumor detection Chunyuan Yuan Qianwen Ma Wei Zhou Jizhong Han Songlin Hu 174 141 0 10 Sep 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 22 475 0 07 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 30 1,079 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 19 5 0 06 Sep 2019
Adaptive Graph Representation Learning for Video Person Re-identification Yiming Wu Omar Elfarouk Bourahla Xi Li Fei Wu Q. Tian Xue Zhou 34 117 0 05 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 29 85 0 04 Sep 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 30 38 0 22 Aug 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 30 67 0 17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning Zhijiang Guo Yan Zhang Zhiyang Teng Wei Lu GNN 24 130 0 16 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network Jiahui Zhang Dawei Sun Zixin Luo Anbang Yao Lei Zhou Tianwei Shen Yurong Chen Long Quan Hongen Liao 3DPC 28 308 0 14 Aug 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Yu Chen Lingfei Wu Mohammed J. Zaki GNN 17 153 0 14 Aug 2019
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Raehyun Kim Chan Ho So Minbyul Jeong Sanghoon Lee Jinkyu Kim Jaewoo Kang AIFin 23 126 0 07 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo Paul Guerrero L. Yi Hao Su Peter Wonka Niloy Mitra Leonidas J. Guibas 3DPC 33 133 0 01 Aug 2019
Cross-domain Network Representations Shan Xue Jie Lu Guangquan Zhang 13 16 0 01 Aug 2019
Expressive Graph Informer Networks Jaak Simm Adam Arany E. Brouwer Yves Moreau GNN 28 2 0 25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KyungHyun Kim Donghyun Kwak Hanock Kwak Young-Jin Park Sangkwon Sim Jae-Han Cho Minkyu Kim Jihun Kwon Nako Sung Jung-Woo Ha 13 19 0 24 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions C. Bayan Bruss Anish Khazane Jonathan Rider R. Serpe Antonia Gogoglou Keegan E. Hines AIFin GNN 29 43 0 16 Jul 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 24 104 0 13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 81 951 0 10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 25 57 0 05 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 36 160 0 28 Jun 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 25 133 0 28 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware Matej Balog B. V. Merrienboer Subhodeep Moitra Yujia Li Daniel Tarlow GNN 36 10 0 27 Jun 2019
Signed Graph Attention Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng GNN 21 117 0 26 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks Qi Cao Huawei Shen Jinhua Gao Bingzheng Wei Xueqi Cheng GNN 19 130 0 21 Jun 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 33 46 0 21 Jun 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko 15 6 0 17 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019
Multiple instance learning with graph neural networks Ming Tu Jing Huang Xiaodong He Bowen Zhou 17 59 0 12 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 21 238 0 11 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 22 60 0 08 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 22 195 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 26 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
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 24 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 28 115 0 02 Jun 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 23 268 0 30 May 2019