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Efficient Relation-aware Neighborhood Aggregation in Graph Neural
  Networks via Tensor Decomposition

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition

11 December 2022
Peyman Baghershahi
Reshad Hosseini
H. Moradi
    GNN
ArXivPDFHTML

Papers citing "Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition"

35 / 35 papers shown
Title
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
Rochana Chaturvedi
Peyman Baghershahi
Sourav Medya
Barbara Di Eugenio
56
0
0
23 Mar 2025
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for
  Link Prediction
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
Peyman Baghershahi
Reshad Hosseini
H. Moradi
44
53
0
20 Dec 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic
  Cones
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai
Rex Ying
Hongyu Ren
J. Leskovec
28
59
0
28 Oct 2021
ETA Prediction with Graph Neural Networks in Google Maps
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion
Jennifer She
David Wong
O. Lange
Todd Hester
...
Ang Li
Zhongwen Xu
Alvaro Sanchez-Gonzalez
Yujia Li
Petar Velivcković
AI4TS
34
228
0
25 Aug 2021
Multi-hop Attention Graph Neural Network
Multi-hop Attention Graph Neural Network
Guangtao Wang
Rex Ying
Jing Huang
J. Leskovec
22
132
0
29 Sep 2020
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Sanxing Chen
Xiaodong Liu
Jianfeng Gao
Jian Jiao
Ruofei Zhang
Yangfeng Ji
43
108
0
28 Aug 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami
A. Wolf
Da-Cheng Juan
Frederic Sala
Sujith Ravi
Christopher Ré
27
391
0
01 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
93
18,523
0
13 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
21
42,038
0
03 Dec 2019
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAI
AI4CE
49
390
0
16 Nov 2019
A Re-evaluation of Knowledge Graph Completion Methods
A Re-evaluation of Knowledge Graph Completion Methods
Zhiqing Sun
Shikhar Vashishth
Soumya Sanyal
Partha P. Talukdar
Yiming Yang
26
168
0
10 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
79
827
0
08 Nov 2019
CoKE: Contextualized Knowledge Graph Embedding
CoKE: Contextualized Knowledge Graph Embedding
Quan Wang
Pingping Huang
Haifeng Wang
Songtai Dai
Wenbin Jiang
Jing Liu
Yajuan Lyu
Yong Zhu
Hua Wu
67
85
0
06 Nov 2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by
  Increasing Feature Interactions
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Nilesh Agrawal
Partha P. Talukdar
31
340
0
01 Nov 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
53
492
0
11 Jun 2019
Multi-relational Poincaré Graph Embeddings
Multi-relational Poincaré Graph Embeddings
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
32
266
0
23 May 2019
Quaternion Knowledge Graph Embeddings
Quaternion Knowledge Graph Embeddings
Shuai Zhang
Yi Tay
Lina Yao
Qi Liu
39
459
0
23 Apr 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
45
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
45
721
0
28 Jan 2019
End-to-end Structure-Aware Convolutional Networks for Knowledge Base
  Completion
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Mingmin Zhen
Jinglu Wang
Lei Zhou
Jinbo Bi
Tian Fang
Long Quan
GNN
37
588
0
11 Nov 2018
Hypernetwork Knowledge Graph Embeddings
Hypernetwork Knowledge Graph Embeddings
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
GNN
21
182
0
21 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
139
10,152
0
10 Jul 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix
Nicolas Usunier
G. Obozinski
41
384
0
19 Jun 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi
David Poole
52
710
0
13 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik
Monica Agrawal
J. Leskovec
GNN
51
1,068
0
02 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
191
6,076
0
24 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
192
19,902
0
30 Oct 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
130
2,591
0
05 Jul 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
46
329
0
18 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
255
15,066
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
110
4,772
0
17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
282
28,795
0
09 Sep 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
51
2,955
0
20 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
104
149,474
0
22 Dec 2014
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
39
3,174
0
20 Dec 2014
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