Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces

12 September 2022

Papers citing "Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces"

35 / 35 papers shown

Title
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph Yongquan He Peng Zhang Luchen Liu Qi Liang Wenyuan Zhang Chuang Zhang 87 44 0 19 Feb 2024
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning Mingyu Derek Ma Muhao Chen Te-Lin Wu Nanyun Peng 80 26 0 22 Sep 2021
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings Hongkuan Zhou James Orme-Rogers Rajgopal Kannan Viktor Prasanna AI4TS 63 4 0 09 Sep 2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting Haohai Sun Jialu Zhong Yunpu Ma Zhen Han Kun He AI4TS 112 159 0 09 Sep 2021
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures Sébastien Montella L. Rojas-Barahona Johannes Heinecke 56 27 0 08 Jun 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs Zixuan Li Xiaolong Jin Saiping Guan Wei Li Jiafeng Guo Yuanzhuo Wang Xueqi Cheng 79 107 0 01 Jun 2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning Zixuan Li Xiaolong Jin Wei Li Saiping Guan Jiafeng Guo Huawei Shen Yuanzhuo Wang Xueqi Cheng 68 270 0 21 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 64 98 0 15 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 93 78 0 14 Apr 2021
Temporal Knowledge Graph Forecasting with Neural ODE Zhen Han Zifeng Ding Yunpu Ma Yujia Gu Volker Tresp AI4TS AI4CE 66 118 0 13 Jan 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 82 74 0 01 Jan 2021
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks Cunchao Zhu Muhao Chen Changjun Fan Guangquan Cheng Yan Zhan 60 255 0 15 Dec 2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion Zhen Han Yunpu Ma Peng Chen Volker Tresp 79 78 0 08 Nov 2020
Analogous Process Structure Induction for Sub-event Sequence Prediction Hongming Zhang Muhao Chen Haoyu Wang Yangqiu Song Dan Roth AI4TS 43 47 0 16 Oct 2020
Knowledge Association with Hyperbolic Knowledge Graph Embeddings Zequn Sun Muhao Chen Wei Hu Chengming Wang Jian Dai Wei Zhang 59 84 0 05 Oct 2020
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification F. López Michael Strube 67 32 0 05 Oct 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
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 141 849 0 08 Nov 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 113 652 0 28 Oct 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 75 381 0 28 Oct 2019
Diachronic Embedding for Temporal Knowledge Graph Completion Rishab Goel Seyed Mehran Kazemi Marcus A. Brubaker Pascal Poupart 82 354 0 06 Jul 2019
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification Boli Chen Xin Huang Lin Xiao Zixin Cai L. Jing 79 67 0 26 May 2019
Multi-relational Poincaré Graph Embeddings Ivana Balazevic Carl Allen Timothy M. Hospedales 71 271 0 23 May 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
Learning Sequence Encoders for Temporal Knowledge Graph Completion Alberto García-Durán Sebastijan Dumancic Mathias Niepert 252 410 0 10 Sep 2018
Hyperbolic Attention Networks Çağlar Gülçehre Misha Denil Mateusz Malinowski Ali Razavi Razvan Pascanu ... Peter W. Battaglia V. Bapst David Raposo Adam Santoro Nando de Freitas 173 224 0 24 May 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 58 605 0 23 May 2018
DKN: Deep Knowledge-Aware Network for News Recommendation Hongwei Wang Fuzheng Zhang Xing Xie Minyi Guo 99 1,046 0 25 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel GNN 3DV 195 2,630 0 05 Jul 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 98 1,312 0 22 May 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs Rakshit S. Trivedi H. Dai Yichen Wang Le Song BDL 85 478 0 16 May 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
Complex Embeddings for Simple Link Prediction Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard BDL 103 2,988 0 20 Jun 2016
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