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Logical Reasoning with Relation Network for Inductive Knowledge Graph
  Completion
v1v2 (latest)

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion

3 June 2024
Qinggang Zhang
Keyu Duan
Junnan Dong
Pai Zheng
Xiao Huang
ArXiv (abs)PDFHTML

Papers citing "Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion"

23 / 23 papers shown
Title
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
Jaejun Lee
Chanyoung Chung
Joyce Jiyoung Whang
GNN
74
48
0
31 May 2023
Contrastive Knowledge Graph Error Detection
Contrastive Knowledge Graph Error Detection
Qinggang Zhang
Junnan Dong
Keyu Duan
Xiao Huang
Yezi Liu
Linchuan Xu
53
36
0
18 Nov 2022
Relational Message Passing for Fully Inductive Knowledge Graph
  Completion
Relational Message Passing for Fully Inductive Knowledge Graph Completion
Yuxia Geng
Jiaoyan Chen
Jeff Z. Pan
Yin Hua
Song Jiang
Wen Zhang
Hua-zeng Chen
132
37
0
08 Oct 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
47
52
0
30 Mar 2022
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
94
22
0
06 Oct 2021
Topology-Aware Correlations Between Relations for Inductive Link
  Prediction in Knowledge Graphs
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Jiajun Chen
Huarui He
Feng Wu
Jie Wang
64
133
0
05 Mar 2021
OntoZSL: Ontology-enhanced Zero-shot Learning
OntoZSL: Ontology-enhanced Zero-shot Learning
Yuxia Geng
Jiaoyan Chen
Zhuo Chen
Jeff Z. Pan
Zhiquan Ye
Zonggang Yuan
Yantao Jia
Huajun Chen
VLM
108
84
0
15 Feb 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
114
120
0
11 Sep 2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Inductive Link Prediction for Nodes Having Only Attribute Information
Yu Hao
Xin Cao
Yixiang Fang
Xike Xie
Sibo Wang
64
76
0
16 Jul 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
304
2,008
0
02 Feb 2020
Generative Adversarial Zero-Shot Relational Learning for Knowledge
  Graphs
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin
Xin Eric Wang
Wenhu Chen
Chunyun Zhang
Weiran Xu
William Yang Wang
GAN
82
85
0
08 Jan 2020
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAIAI4CE
100
398
0
16 Nov 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
254
3,190
0
19 Feb 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
274
7,713
0
01 Oct 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
368
2,675
0
20 Aug 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
526
1,993
0
09 Jun 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
121
1,949
0
27 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
493
20,296
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
529
15,379
0
07 Jun 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
196
4,850
0
17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
709
29,220
0
09 Sep 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
167
1,658
0
02 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
119
3,210
0
20 Dec 2014
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