v1v2v3v4v5 (latest)

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

7 June 2022

Jian Tang

Papers citing "A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs"

44 / 44 papers shown

Title
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases Hongyu Ren Mikhail Galkin Michael Cochez Zhaocheng Zhu J. Leskovec NAI GNN 106 38 0 26 Mar 2023
Learning to Walk with Dual Agents for Knowledge Graph Reasoning Denghui Zhang Zixuan Yuan Hao Liu Xiaodong Lin Hui Xiong 64 46 0 23 Dec 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones Yushi Bai Rex Ying Hongyu Ren J. Leskovec 72 62 0 28 Oct 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning Mattia Atzeni Jasmina Bogojeska Andreas Loukas ReLM LRM 58 15 0 27 Oct 2021
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations Yihong Chen Pasquale Minervini Sebastian Riedel Pontus Stenetorp 131 47 0 06 Oct 2021
Knowledge Graph Reasoning with Relational Digraph Yongqi Zhang Quanming Yao GNN 85 129 0 13 Aug 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 97 325 0 13 Jun 2021
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction A. Feeney Rishabh Gupta Veronika Thost Rico Angell Gayathri Chandu Yash Adhikari Tengfei Ma 31 11 0 28 May 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 72 415 0 17 Mar 2021
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors Linlin Chao Jianshan He Taifeng Wang Wei Chu 66 167 0 07 Nov 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 50 145 0 29 Oct 2020
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs Meng Qu Junkun Chen Louis-Pascal Xhonneux Yoshua Bengio Jian Tang NAI LRM AI4CE 91 172 0 08 Oct 2020
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 309 2,752 0 02 May 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings Ines Chami A. Wolf Da-Cheng Juan Frederic Sala Sujith Ravi Christopher Ré 58 395 0 01 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 129 399 0 23 Apr 2020
DGL-KE: Training Knowledge Graph Embeddings at Scale Da Zheng Xiang Song Chao Ma Zeyuan Tan Zihao Ye Jin Dong Hao Xiong Zheng Zhang George Karypis 74 191 0 18 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 122 677 0 12 Apr 2020
Relational Message Passing for Knowledge Graph Completion Hongwei Wang Hongyu Ren J. Leskovec 64 120 0 17 Feb 2020
Reasoning on Knowledge Graphs with Debate Dynamics Marcel Hildebrandt Jorge Andres Quintero Serna Yunpu Ma Martin Ringsquandl Mitchell Joblin Volker Tresp 54 53 0 02 Jan 2020
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction Zhanqiu Zhang Jianyu Cai Yongdong Zhang Jie Wang 97 392 0 21 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 90 398 0 16 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 141 849 0 08 Nov 2019
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs A. Sadeghian Mohammadreza Armandpour P. Ding D. Wang 93 316 0 31 Oct 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning Xiaoran Xu Wei Feng Yunsheng Jiang Xiaohui Xie Zhiqing Sun Zhihong Deng LRM 62 53 0 25 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 969 0 10 Jul 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 106 114 0 02 Mar 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun Zhihong Deng Jian-Yun Nie Jian Tang 108 2,142 0 26 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 248 3,184 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 77 491 0 14 Sep 2018
Multi-Hop Knowledge Graph Reasoning with Reward Shaping Xi Lin R. Socher Caiming Xiong LRM 94 336 0 31 Aug 2018
Variational Knowledge Graph Reasoning Wenhu Chen Wenhan Xiong Xifeng Yan William Yang Wang 55 112 0 17 Mar 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search Yelong Shen Jianshu Chen Po-Sen Huang Yuqing Guo Jianfeng Gao 67 129 0 12 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 149 1,517 0 30 Jan 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning Rajarshi Das Shehzaad Dhuliawala Manzil Zaheer Luke Vilnis Ishan Durugkar A. Krishnamurthy Alex Smola Andrew McCallum KELM 99 513 0 15 Nov 2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning Wenhan Xiong Thi-Lan-Giao Hoang William Yang Wang 91 728 0 20 Jul 2017
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel GNN 3DV 195 2,630 0 05 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,837 0 17 Mar 2017
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks Rajarshi Das Arvind Neelakantan David Belanger Andrew McCallum NAI AI4CE LRM 76 271 0 05 Jul 2016
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 103 2,988 0 20 Jun 2016
The AGI Containment Problem James Babcock János Kramár Roman V. Yampolskiy 83 276 0 02 Apr 2016
Compositional Vector Space Models for Knowledge Base Completion Arvind Neelakantan Benjamin Roth Andrew McCallum BDL CoGe KELM 73 283 0 24 Apr 2015
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 110 3,206 0 20 Dec 2014