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RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

8 October 2020
Meng Qu
Junkun Chen
Louis-Pascal Xhonneux
Yoshua Bengio
Jian Tang
    NAI
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs"

28 / 28 papers shown
Title
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Qiyuan He
Jianfei Yu
Wenya Wang
LRM
36
0
0
03 Jan 2025
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph
  Completion
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Wen Zhang
Yajing Xu
Peng Ye
Zhiwei Huang
Zezhong Xu
Jiaoyan Chen
Jeff Z. Pan
Huajun Chen
36
1
0
26 Jun 2024
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
Keyuan Cheng
Muhammad Asif Ali
Shu Yang
Gang Lin
Yuxuan Zhai
Haoyang Fei
Ke Xu
Lu Yu
Lijie Hu
Di Wang
KELM
48
8
0
24 May 2024
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and
  Improving LLMs
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
Siyuan Wang
Zhongyu Wei
Yejin Choi
Xiang Ren
ReLM
ELM
LRM
16
21
0
18 Feb 2024
Large Language Models Can Learn Temporal Reasoning
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong
Ali Payani
Ramana Rao Kompella
Faramarz Fekri
LRM
34
81
0
12 Jan 2024
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Roshanak Mirzaee
Parisa Kordjamshidi
LRM
31
7
0
25 Oct 2023
Large Language Models can Learn Rules
Large Language Models can Learn Rules
Zhaocheng Zhu
Yuan Xue
Xinyun Chen
Denny Zhou
Jian Tang
Dale Schuurmans
Hanjun Dai
LRM
ReLM
46
63
0
10 Oct 2023
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
Haotian Li
Lingzhi Wang
Yuliang Wei
Richard Y. D. Xu
Bailing Wang
Bailing Wang
56
2
0
26 Sep 2023
Towards Unbiased Exploration in Partial Label Learning
Towards Unbiased Exploration in Partial Label Learning
Zsolt Zombori
Agapi Rissaki
Kristóf Szabó
Wolfgang Gatterbauer
Michael Benedikt
SSL
UQCV
41
1
0
02 Jul 2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Hui Liu
Wenya Wang
Haoliang Li
46
23
0
10 May 2023
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for
  Temporal Knowledge Graph Reasoning
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
AI4TS
25
19
0
08 Apr 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph
  Databases
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren
Mikhail Galkin
Michael Cochez
Zhaocheng Zhu
J. Leskovec
NAI
GNN
49
35
0
26 Mar 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's
  Progressive Matrices
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
Jingyi Xu
Tushar Vaidya
Y. Blankenship
Saket Chandra
Zhangsheng Lai
Kai Fong Ernest Chong
48
8
0
21 Mar 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
42
12
0
14 Feb 2023
Evaluating Step-by-Step Reasoning through Symbolic Verification
Evaluating Step-by-Step Reasoning through Symbolic Verification
Yi-Fan Zhang
Hanlin Zhang
Li Erran Li
Eric P. Xing
ReLM
LRM
24
8
0
16 Dec 2022
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic,
  and Multimodal
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
K. Liang
Lingyuan Meng
Meng Liu
Yue Liu
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
Fu Sun
LRM
39
110
0
12 Dec 2022
Instance-based Learning for Knowledge Base Completion
Instance-based Learning for Knowledge Base Completion
Wanyun Cui
Xingran Chen
24
7
0
13 Nov 2022
RulE: Knowledge Graph Reasoning with Rule Embedding
RulE: Knowledge Graph Reasoning with Rule Embedding
Xiaojuan Tang
Song-Chun Zhu
Yitao Liang
Muhan Zhang
25
2
0
24 Oct 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang
Hongyu Ren
J. Leskovec
LRM
35
24
0
13 Oct 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu
Xinyu Yuan
Mikhail Galkin
Sophie Xhonneux
Ming Zhang
Maxime Gazeau
Jian Tang
GNN
LRM
33
36
0
07 Jun 2022
Neural Theorem Provers Delineating Search Area Using RNN
Neural Theorem Provers Delineating Search Area Using RNN
Yu-hao Wu
Hou-Biao Li
LRM
33
1
0
14 Mar 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Rule Mining over Knowledge Graphs via Reinforcement Learning
Lihan Chen
Sihang Jiang
Jingping Liu
Chao Wang
Shenmin Zhang
Chenhao Xie
Jiaqing Liang
Yanghua Xiao
Rui Song
44
19
0
21 Feb 2022
DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
Haotian Li
Hongri Liu
Yao Wang
Guodong Xin
Yuliang Wei
21
1
0
18 Dec 2021
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAI
AI4CE
83
54
0
06 Dec 2021
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework
  for Knowledge Graph Inference
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference
Guanglin Niu
Yue Liu
Yongfei Zhang
Shi Pu
30
4
0
02 Dec 2021
Rule Induction in Knowledge Graphs Using Linear Programming
Rule Induction in Knowledge Graphs Using Linear Programming
S. Dash
Joao Goncalves
31
5
0
15 Oct 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
1