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Dynamically Pruned Message Passing Networks for Large-Scale Knowledge
  Graph Reasoning

Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning

25 September 2019
Xiaoran Xu
Wei Feng
Yunsheng Jiang
Xiaohui Xie
Zhiqing Sun
Zhihong Deng
    LRM
ArXivPDFHTML

Papers citing "Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning"

44 / 44 papers shown
Title
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
150
21
0
17 Jan 2025
What Can Neural Networks Reason About?
What Can Neural Networks Reason About?
Keyulu Xu
Jingling Li
Mozhi Zhang
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
NAI
AI4CE
63
245
0
30 May 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
105
2,130
0
26 Feb 2019
Modeling Attention Flow on Graphs
Modeling Attention Flow on Graphs
Xiaoran Xu
Songpeng Zu
Chengliang Gao
Yuan Zhang
Wei Feng
GNN
46
11
0
01 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Lin
R. Socher
Caiming Xiong
LRM
85
334
0
31 Aug 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix
Nicolas Usunier
G. Obozinski
76
386
0
19 Jun 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
116
211
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
750
3,119
0
04 Jun 2018
Variational Knowledge Graph Reasoning
Variational Knowledge Graph Reasoning
Wenhu Chen
Wenhan Xiong
Xifeng Yan
William Yang Wang
42
110
0
17 Mar 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen
Jianshu Chen
Po-Sen Huang
Yuqing Guo
Jianfeng Gao
55
127
0
12 Feb 2018
A Novel Embedding Model for Knowledge Base Completion Based on
  Convolutional Neural Network
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
3DV
75
703
0
06 Dec 2017
Recurrent Relational Networks
Recurrent Relational Networks
Rasmus Berg Palm
Ulrich Paquet
Ole Winther
GNN
ReLM
NAI
92
139
0
21 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
286
8,905
0
21 Nov 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in
  Knowledge Bases using Reinforcement Learning
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das
Shehzaad Dhuliawala
Manzil Zaheer
Luke Vilnis
Ishan Durugkar
A. Krishnamurthy
Alex Smola
Andrew McCallum
KELM
93
510
0
15 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
476
20,138
0
30 Oct 2017
The Consciousness Prior
The Consciousness Prior
Yoshua Bengio
DRL
AI4CE
49
229
0
25 Sep 2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong
Thi-Lan-Giao Hoang
William Yang Wang
74
724
0
20 Jul 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
186
2,615
0
05 Jul 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
97
238
0
19 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
Visual Interaction Networks
Visual Interaction Networks
Nicholas Watters
Andrea Tacchetti
T. Weber
Razvan Pascanu
Peter W. Battaglia
Daniel Zoran
PINN
3DH
93
279
0
05 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
177
1,614
0
05 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
590
7,443
0
04 Apr 2017
A Structured Self-attentive Sentence Embedding
A Structured Self-attentive Sentence Embedding
Zhouhan Lin
Minwei Feng
Cicero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
113
2,139
0
09 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
527
1,409
0
01 Dec 2016
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
799
3,281
0
24 Nov 2016
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with
  Weak Supervision
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang
Jonathan Berant
Quoc V. Le
Kenneth D. Forbus
Ni Lao
NAI
104
406
0
31 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
617
29,051
0
09 Sep 2016
Chains of Reasoning over Entities, Relations, and Text using Recurrent
  Neural Networks
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Rajarshi Das
Arvind Neelakantan
David Belanger
Andrew McCallum
NAI
AI4CE
LRM
64
270
0
05 Jul 2016
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
342
7,650
0
30 Jun 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
88
2,974
0
20 Jun 2016
TensorLog: A Differentiable Deductive Database
TensorLog: A Differentiable Deductive Database
William W. Cohen
60
122
0
20 May 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
135
2,154
0
17 May 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
137
1,449
0
02 Mar 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
344
3,282
0
17 Nov 2015
Holographic Embeddings of Knowledge Graphs
Holographic Embeddings of Knowledge Graphs
Maximilian Nickel
Lorenzo Rosasco
T. Poggio
60
1,201
0
16 Oct 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
221
3,350
0
30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
155
1,587
0
16 Jun 2015
Traversing Knowledge Graphs in Vector Space
Traversing Knowledge Graphs in Vector Space
Kelvin Guu
John Miller
Percy Liang
KELM
66
357
0
03 Jun 2015
Modeling Relation Paths for Representation Learning of Knowledge Bases
Modeling Relation Paths for Representation Learning of Knowledge Bases
Yankai Lin
Zhiyuan Liu
Huanbo Luan
Maosong Sun
S. Rao
Song Liu
85
619
0
01 Jun 2015
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
93
3,194
0
20 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
549
27,300
0
01 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,874
0
21 Dec 2013
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