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2004.04412
Cited By
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
9 April 2020
Christian Meilicke
M. Chekol
Manuel Fink
Heiner Stuckenschmidt
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Papers citing
"Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion"
31 / 31 papers shown
Temporal Knowledge Graph Hyperedge Forecasting: Exploring Entity-to-Category Link Prediction
Edward Markai
Sina Molavipour
68
0
0
28 Oct 2025
Probabilistic Circuits for Knowledge Graph Completion with Reduced Rule Sets
Jaikrishna Manojkumar Patil
Nathaniel Lee
Al Mehdi Saadat Chowdhury
YooJung Choi
Paulo Shakarian
122
0
0
08 Aug 2025
Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning
Enjun Du
Siyi Liu
Yongqi Zhang
228
9
0
28 Jul 2025
Mining Path Association Rules in Large Property Graphs (with Appendix)
International Conference on Information and Knowledge Management (CIKM), 2024
Yuya Sasaki
Panagiotis Karras
154
3
0
04 Aug 2024
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
Saiping Guan
Jiyao Wei
Xiaolong Jin
Jiafeng Guo
Xueqi Cheng
LRM
226
3
0
26 Jul 2024
Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing
Divyagna Bavikadi
Dyuman Aditya
Devendra Parkar
Paulo Shakarian
Graham Mueller
Chad Parvis
Gerardo Simari
347
3
0
08 Jul 2024
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
Wangtao Sun
Shizhu He
Jun Zhao
Kang Liu
AI4CE
230
1
0
08 Mar 2024
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong
Yuan Yang
Faramarz Fekri
J. C. Kerce
284
74
0
19 Feb 2024
On the Aggregation of Rules for Knowledge Graph Completion
Patrick Betz
Stefan Lüdtke
Christian Meilicke
Heiner Stuckenschmidt
165
2
0
01 Sep 2023
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
I. Singh
Navdeep Kaur
Garima Gaur
Mausam
187
3
0
15 May 2023
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling
Yilin Wen
Biao Luo
Yuqian Zhao
362
2
0
06 Jan 2023
Efficient multi-relational network representation using primes
K. Bougiatiotis
George Giannakopoulos
249
1
0
14 Sep 2022
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
International Conference on Information and Knowledge Management (CIKM), 2022
Yuanning Cui
Yuxin Wang
Zequn Sun
Wenqiang Liu
Yiqiao Jiang
Kexin Han
Wei Hu
LRM
357
17
0
22 Aug 2022
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs
International Workshop on the Semantic Web (SW), 2022
Zifeng Ding
Zong-Xun Li
Ruoxia Qi
Jingpei Wu
Bailan He
...
Zhao Meng
Shuo Chen
Ruotong Liao
Zhen Han
Volker Tresp
250
13
0
12 Aug 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Knowledge-Based Systems (KBS), 2022
Lihan Chen
Sihang Jiang
Jingping Liu
Chao Wang
Shenmin Zhang
Chenhao Xie
Jiaqing Liang
Yanghua Xiao
Rui Song
172
23
0
21 Feb 2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yushi Bai
Xin Lv
Juanzi Li
Lei Hou
Yincen Qu
Zelin Dai
Feiyu Xiong
RALM
OffRL
LRM
310
25
0
17 Jan 2022
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Yushan Liu
Yunpu Ma
Marcel Hildebrandt
Mitchell Joblin
Volker Tresp
393
186
0
15 Dec 2021
Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference
Guanglin Niu
Yue Liu
Yongfei Zhang
Shi Pu
355
6
0
02 Dec 2021
A Survey on Neural-symbolic Learning Systems
Neural Networks (NN), 2021
Dongran Yu
Bo Yang
Da Liu
Hui Wang
Shirui Pan
457
104
0
10 Nov 2021
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
Simon Ott
Christian Meilicke
Matthias Samwald
AI4CE
180
38
0
16 Sep 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xin Lv
Yixin Cao
Lei Hou
Juan-Zi Li
Zhiyuan Liu
Yichi Zhang
Zelin Dai
LRM
221
26
0
14 Apr 2021
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
Extended Semantic Web Conference (ESWC), 2021
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Martin Ringsquandl
Rime Raissouni
Volker Tresp
192
51
0
18 Mar 2021
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
Simon Ott
Laura Graf
Asan Agibetov
Christian Meilicke
Matthias Samwald
AI4CE
180
1
0
10 Dec 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
402
3
0
12 Oct 2020
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Martin Ringsquandl
Volker Tresp
161
6
0
10 Jul 2020
Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
Yulong Gu
Yushi Guan
P. Missier
259
1
0
29 Jun 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Deren Lei
Gangrong Jiang
Xiaotao Gu
Kexuan Sun
Yuning Mao
Xiang Ren
270
59
0
01 May 2020
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
The Web Conference (WWW), 2020
Caleb Belth
Xinyi Zheng
Jilles Vreeken
Danai Koutra
242
50
0
23 Mar 2020
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Yulong Gu
Yushi Guan
P. Missier
AI4CE
197
14
0
13 Mar 2020
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Andrea Rossi
D. Firmani
Antonio Matinata
P. Merialdo
Denilson Barbosa
525
400
0
03 Feb 2020
OpenBioLink: A benchmarking framework for large-scale biomedical link prediction
Anna Breit
Simon Ott
Asan Agibetov
Matthias Samwald
LM&MA
220
67
0
10 Dec 2019
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