ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.10621
  4. Cited By
Learning Meta Representations of One-shot Relations for Temporal
  Knowledge Graph Link Prediction

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction

21 May 2022
Zifeng Ding
Bailan He
Yunpu Ma
Zhen Han
Volker Tresp
ArXivPDFHTML

Papers citing "Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction"

28 / 28 papers shown
Title
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Confidence-Augmented Reinforcement Learning
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning
Zifeng Ding
Jingpei Wu
Zong-Xun Li
Yunpu Ma
Volker Tresp
49
8
0
02 Apr 2023
Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information
Zifeng Ding
Jingpei Wu
Bailan He
Yunpu Ma
Zhen Han
Volker Tresp
49
14
0
15 Nov 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal
  Knowledge Graphs
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
Ruijie Wang
Zheng Li
Dachun Sun
Shengzhong Liu
Jinning Li
Bing Yin
Tarek Abdelzaher
OffRL
52
42
0
16 Oct 2022
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph
  Completion
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Zifeng Ding
Yunpu Ma
Bailan He
Volker Tresp
39
17
0
14 Dec 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for
  Few-Shot Knowledge Graph Completion
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu
Yang Li
Chengguang Tang
Ruiying Geng
Jian Dai
Qiao Liu
Hao Wang
Jian Sun
Fei Huang
Luo Si
47
88
0
27 Apr 2021
Temporal Knowledge Graph Forecasting with Neural ODE
Temporal Knowledge Graph Forecasting with Neural ODE
Zhen Han
Zifeng Ding
Yunpu Ma
Yujia Gu
Volker Tresp
AI4TS
AI4CE
45
116
0
13 Jan 2021
On Episodes, Prototypical Networks, and Few-shot Learning
On Episodes, Prototypical Networks, and Few-shot Learning
Steinar Laenen
Luca Bertinetto
64
98
0
17 Dec 2020
Learning from History: Modeling Temporal Knowledge Graphs with
  Sequential Copy-Generation Networks
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
Cunchao Zhu
Muhao Chen
Changjun Fan
Guangquan Cheng
Yan Zhan
43
253
0
15 Dec 2020
One-shot Learning for Temporal Knowledge Graphs
One-shot Learning for Temporal Knowledge Graphs
Mehrnoosh Mirtaheri
Mohammad Rostami
Xiang Ren
Fred Morstatter
Aram Galstyan
73
22
0
23 Oct 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Shuaiyi Nie
Shu Guo
Zhenyu Chen
Juwei Yue
Lihong Wang
Tingwen Liu
Hongbo Xu
127
116
0
19 Oct 2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu
Mengyao Cao
Jackie C.K. Cheung
William L. Hamilton
49
144
0
07 Oct 2020
BoxE: A Box Embedding Model for Knowledge Base Completion
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud
.Ismail .Ilkan Ceylan
Thomas Lukasiewicz
Tommaso Salvatori
61
178
0
13 Jul 2020
Tensor Decompositions for temporal knowledge base completion
Tensor Decompositions for temporal knowledge base completion
Timothée Lacroix
G. Obozinski
Nicolas Usunier
30
257
0
10 Apr 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
66
618
0
19 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
211
42,038
0
03 Dec 2019
Few-Shot Knowledge Graph Completion
Few-Shot Knowledge Graph Completion
Chuxu Zhang
Huaxiu Yao
Chao Huang
Meng Jiang
Z. Li
Nitesh Chawla
42
199
0
26 Nov 2019
Temporal Knowledge Graph Embedding Model based on Additive Time Series
  Decomposition
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
Chengjin Xu
M. Nayyeri
Fouad Alkhoury
H. S. Yazdi
Jens Lehmann
11
79
0
18 Nov 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Yin Hua
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
112
185
0
04 Sep 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex
  Space
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun
Zhihong Deng
Jian-Yun Nie
Jian Tang
64
2,108
0
26 Feb 2019
TuckER: Tensor Factorization for Knowledge Graph Completion
TuckER: Tensor Factorization for Knowledge Graph Completion
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
58
721
0
28 Jan 2019
One-Shot Relational Learning for Knowledge Graphs
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
71
217
0
27 Aug 2018
Embedding Models for Episodic Knowledge Graphs
Embedding Models for Episodic Knowledge Graphs
Yunpu Ma
Volker Tresp
Erik A. Daxberger
KELM
34
117
0
30 Jun 2018
Variational Reasoning for Question Answering with Knowledge Graph
Variational Reasoning for Question Answering with Knowledge Graph
Yuyu Zhang
H. Dai
Zornitsa Kozareva
Alex Smola
Le Song
66
472
0
12 Sep 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
132
4,772
0
17 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
750
11,793
0
09 Mar 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
242
7,622
0
30 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
277
7,286
0
13 Jun 2016
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
64
3,174
0
20 Dec 2014
1