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Differentiable Learning of Logical Rules for Knowledge Base Reasoning
v1v2v3 (latest)

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

27 February 2017
Fan Yang
Zhilin Yang
William W. Cohen
ArXiv (abs)PDFHTML

Papers citing "Differentiable Learning of Logical Rules for Knowledge Base Reasoning"

16 / 16 papers shown
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query
  Perspective
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query PerspectiveSIGKDD Explorations (SIGKDD Explor.), 2024
Lihui Liu
Zihao Wang
Hanghang Tong
NAI
319
25
0
30 Nov 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song
Chao Yang
Chaojie Wang
Bo An
Shuang Li
575
10
0
03 Jun 2024
Federated Neuro-Symbolic Learning
Federated Neuro-Symbolic LearningInternational Conference on Machine Learning (ICML), 2023
Pengwei Xing
Songtao Lu
Han Yu
FedML
310
5
0
29 Aug 2023
A Survey on Neural-symbolic Learning Systems
A Survey on Neural-symbolic Learning SystemsNeural Networks (NN), 2021
Dongran Yu
Bo Yang
Da Liu
Hui Wang
Shirui Pan
457
104
0
10 Nov 2021
An Investigation into Mini-Batch Rule Learning
An Investigation into Mini-Batch Rule Learning
Florian Beck
Johannes Furnkranz
90
3
0
18 Jun 2021
GraphOpt: Learning Optimization Models of Graph Formation
GraphOpt: Learning Optimization Models of Graph FormationInternational Conference on Machine Learning (ICML), 2020
Rakshit S. Trivedi
Jiachen Yang
H. Zha
OffRL
232
17
0
07 Jul 2020
Visual Concept-Metaconcept Learning
Visual Concept-Metaconcept LearningNeural Information Processing Systems (NeurIPS), 2020
Chi Han
Jiayuan Mao
Chuang Gan
J. Tenenbaum
Jiajun Wu
NAILRM
203
73
0
04 Feb 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Efficient Probabilistic Logic Reasoning with Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
Yuyu Zhang
Xinshi Chen
Yu’an Yang
Arun Ramamurthy
Yue Liu
Yuan Qi
Le Song
AI4CE
526
119
0
29 Jan 2020
Group Representation Theory for Knowledge Graph Embedding
Chen Cai
217
5
0
11 Sep 2019
Can Graph Neural Networks Help Logic Reasoning?
Can Graph Neural Networks Help Logic Reasoning?
Yuyu Zhang
Xinshi Chen
Yu’an Yang
Arun Ramamurthy
Bo Li
Yuan Qi
Le Song
NAIAI4CE
329
14
0
05 Jun 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex
  Space
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex SpaceInternational Conference on Learning Representations (ICLR), 2018
Zhiqing Sun
Zhihong Deng
Jian-Yun Nie
Jian Tang
405
2,628
0
26 Feb 2019
Neural Approaches to Conversational AI
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
600
734
0
21 Sep 2018
Combining Representation Learning with Logic for Language Processing
Combining Representation Learning with Logic for Language Processing
Tim Rocktaschel
NAI
146
6
0
27 Dec 2017
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading
  Comprehension Tasks
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks
Yelong Shen
Xiaodong Liu
Kevin Duh
Jianfeng Gao
LRM
179
12
0
09 Nov 2017
TensorLog: Deep Learning Meets Probabilistic DBs
TensorLog: Deep Learning Meets Probabilistic DBs
William W. Cohen
Fan Yang
Kathryn Mazaitis
NAI
248
45
0
17 Jul 2017
End-to-End Differentiable Proving
End-to-End Differentiable ProvingNeural Information Processing Systems (NeurIPS), 2017
Tim Rocktaschel
Sebastian Riedel
NAI
407
433
0
31 May 2017
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