Modeling Relational Data with Graph Convolutional Networks

17 March 2017

Papers citing "Modeling Relational Data with Graph Convolutional Networks"

50 / 532 papers shown

Title
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 30 2,647 0 02 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 16 3 0 28 Apr 2020
Contextualised Graph Attention for Improved Relation Extraction Angrosh Mandya Danushka Bollegala Frans Coenen GNN 18 6 0 22 Apr 2020
In-Machine-Learning Database: Reimagining Deep Learning with Old-School SQL Len Du OOD 13 5 0 11 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 44 57 0 01 Apr 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning Zekarias T. Kefato Sarunas Girdzijauskas 16 7 0 30 Mar 2020
A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi Minkai Xu Hongyu Guo Ming Zhang Jian Tang 14 151 0 28 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 27 170 0 27 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs Zequn Sun Qingheng Zhang Wei Hu Chengming Wang Muhao Chen F. Akrami Chengkai Li 19 242 0 10 Mar 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution Sankalp Garg Navodita Sharma Woojeong Jin Xiang Ren AI4TS 22 8 0 09 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 27 11 0 07 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction Abduallah A. Mohamed Kun Qian Mohamed Elhoseiny Christian G. Claudel GNN 17 691 0 27 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 13 230 0 08 Feb 2020
Message Passing Query Embedding Daniel Daza Michael Cochez GNN 31 7 0 06 Feb 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo-wen Li Yuan Qi Le Song AI4CE 17 111 0 29 Jan 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 30 207 0 27 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 43 425 0 26 Jan 2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines Navdeep Kaur Gautam Kunapuli Sriraam Natarajan 16 4 0 09 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 42 276 0 29 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu GNN 26 11 0 26 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 22 78 0 25 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 17 213 0 19 Dec 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 23 276 0 17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 20 388 0 16 Nov 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 27 249 0 15 Nov 2019
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 27 174 0 14 Nov 2019
A Re-evaluation of Knowledge Graph Completion Methods Zhiqing Sun Shikhar Vashishth Soumya Sanyal Partha P. Talukdar Yiming Yang 9 168 0 10 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction Mustafa Coşkun GNN BDL 6 3 0 07 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 51 943 0 06 Nov 2019
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks Pavan Kapanipathi Veronika Thost S. Patel Spencer Whitehead Ibrahim Abdelaziz ... R. Chulaka Gunasekara B. Makni Nicholas Mattei Kartik Talamadupula Achille Fokoue 34 45 0 05 Nov 2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions Shikhar Vashishth Soumya Sanyal Vikram Nitin Nilesh Agrawal Partha P. Talukdar 8 336 0 01 Nov 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 16 369 0 28 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani M. Liakata GNN 23 3 0 03 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction Ling Cai Bo Yan Gengchen Mai K. Janowicz Rui Zhu GNN 14 75 0 01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Jointly Learning Entity and Relation Representations for Entity Alignment Yuting Wu Xiao Liu Yansong Feng Zheng Wang Dongyan Zhao 12 152 0 20 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 11 742 0 08 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning Bill Yuchen Lin Xinyue Chen Jamin Chen Xiang Ren 13 459 0 04 Sep 2019
Image Classification with Hierarchical Multigraph Networks Boris Knyazev Xiaoyu Lin Mohamed R. Amer Graham W. Taylor GNN BDL 22 35 0 21 Jul 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 20 133 0 28 Jun 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 27 46 0 21 Jun 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko 8 6 0 17 Jun 2019
Comparing Machine Learning Approaches for Table Recognition in Historical Register Books S. Clinchant Hervé Déjean Jean-Luc Meunier E. Lang Florian Kleber LMTD 6 29 0 14 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
Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui Bo Yang Xia Hu 4 6 0 31 May 2019
Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero Kenshi Abe Zijian Xu Issei Sato Masashi Sugiyama GNN AI4CE 27 54 0 28 May 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 27 225 0 27 May 2019