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Neural-Symbolic Relational Reasoning on Graph Models: Effective Link
  Inference and Computation from Knowledge Bases

Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases

5 May 2020
Henrique Lemos
Pedro H. C. Avelar
Marcelo O. R. Prates
Luís C. Lamb
Artur Garcez
    NAI
ArXivPDFHTML

Papers citing "Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases"

15 / 15 papers shown
Title
Neural-Symbolic Computing: An Effective Methodology for Principled
  Integration of Machine Learning and Reasoning
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur Garcez
Marco Gori
Luís C. Lamb
Luciano Serafini
Michael Spranger
Son N. Tran
NAI
93
292
0
15 May 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and
  Sentences From Natural Supervision
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao
Chuang Gan
Pushmeet Kohli
J. Tenenbaum
Jiajun Wu
NAI
115
696
0
26 Apr 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
577
8,496
0
03 Jan 2019
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
Jilin Hu
Chenjuan Guo
B. Yang
Christian S. Jensen
Lu Chen
22
6
0
13 Nov 2018
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Wenpeng Yin
Yadollah Yaghoobzadeh
Hinrich Schütze
LRM
49
22
0
12 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
619
3,112
0
04 Jun 2018
Generative Code Modeling with Graphs
Generative Code Modeling with Graphs
Marc Brockschmidt
Miltiadis Allamanis
Alexander L. Gaunt
Oleksandr Polozov
73
178
0
22 May 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
79
1,923
0
27 Feb 2018
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
111
483
0
13 Nov 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
66
722
0
20 Jul 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
466
7,431
0
04 Apr 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
178
4,807
0
17 Mar 2017
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
62
268
0
05 Jul 2016
STransE: a novel embedding model of entities and relationships in
  knowledge bases
STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen
Kairit Sirts
Zhuang Li
Mark Johnson
55
181
0
27 Jun 2016
Compositional Vector Space Models for Knowledge Base Completion
Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
Benjamin Roth
Andrew McCallum
BDL
CoGe
KELM
63
281
0
24 Apr 2015
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