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Inductive Relation Prediction by Subgraph Reasoning

Inductive Relation Prediction by Subgraph Reasoning

16 November 2019
Komal K. Teru
E. Denis
William L. Hamilton
    NAI
    AI4CE
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Papers citing "Inductive Relation Prediction by Subgraph Reasoning"

18 / 68 papers shown
Title
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
21
20
0
06 Oct 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Shuangjia Zheng
Sijie Mai
Ya Sun
Haifeng Hu
Yuedong Yang
30
21
0
26 Jul 2021
NodePiece: Compositional and Parameter-Efficient Representations of
  Large Knowledge Graphs
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
22
86
0
23 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework
  for Link Prediction
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
33
300
0
13 Jun 2021
Inductive Relation Prediction by BERT
Inductive Relation Prediction by BERT
H. Zha
Zhiyu Zoey Chen
Xifeng Yan
29
54
0
12 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
35
108
0
08 Mar 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
21
130
0
05 Mar 2021
Link Prediction with Persistent Homology: An Interactive View
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
10
46
0
20 Feb 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
33
80
0
15 Feb 2021
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense
  Knowledge
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge
Tianqing Fang
Hongming Zhang
Weiqi Wang
Yangqiu Song
Bin He
38
45
0
01 Jan 2021
Communicative Message Passing for Inductive Relation Reasoning
Communicative Message Passing for Inductive Relation Reasoning
Sijie Mai
Shuangjia Zheng
Yuedong Yang
Haifeng Hu
LRM
23
101
0
16 Dec 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
32
3
0
12 Oct 2020
Subgraph Neural Networks
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
18
134
0
18 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
34
161
0
14 Jun 2020
Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie Zhang
32
63
0
18 Oct 2019
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
267
1,944
0
09 Jun 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
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