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Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge
  Graphs

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

18 March 2021
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Martin Ringsquandl
Rime Raissouni
Volker Tresp
ArXivPDFHTML

Papers citing "Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs"

22 / 22 papers shown
Title
Class Granularity: How richly does your knowledge graph represent the
  real world?
Class Granularity: How richly does your knowledge graph represent the real world?
Sumin Seo
Heeseon Cheon
Hyunho Kim
32
0
0
10 Nov 2024
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
239
2
0
02 Oct 2024
Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge
  Graph Learning
Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
Jeffrey Sardina
Luca Costabello
Christophe Guéret
31
2
0
08 Feb 2024
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph
  Generalisation via Simulated KGE Models
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
J. Sardina
John D. Kelleher
Declan O’Sullivan
33
0
0
08 Feb 2024
ChatRule: Mining Logical Rules with Large Language Models for Knowledge
  Graph Reasoning
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
Linhao Luo
Jiaxin Ju
Bo Xiong
Yuan-Fang Li
Gholamreza Haffari
Shirui Pan
LRM
36
26
0
04 Sep 2023
On the Aggregation of Rules for Knowledge Graph Completion
On the Aggregation of Rules for Knowledge Graph Completion
Patrick Betz
Stefan Lüdtke
Christian Meilicke
Heiner Stuckenschmidt
30
2
0
01 Sep 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
L. Delong
Ramon Fernández Mir
Zonglin Ji
Fiona Niamh Coulter Smith
Jacques D. Fleuriot
43
1
0
17 Jul 2023
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
K. Bougiatiotis
George Giannakopoulos
33
1
0
17 May 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
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced Neural Machine Reasoning: A Review
Tanmoy Chowdhury
Chen Ling
Xuchao Zhang
Xujiang Zhao
Guangji Bai
Jian Pei
Haifeng Chen
Liang Zhao
44
7
0
04 Feb 2023
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug
  Treatment Prediction and Mechanism Description
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description
Chunyu Ma
Zhihan Zhou
Han Liu
D. Koslicki
21
16
0
30 Nov 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
45
25
0
20 May 2022
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
Fangkai Jiao
Yangyang Guo
Xuemeng Song
Liqiang Nie
LRM
33
35
0
01 Mar 2022
Learning to Discover Medicines
Learning to Discover Medicines
T. Nguyen
Thin Nguyen
T. Tran
34
1
0
14 Feb 2022
TLogic: Temporal Logical Rules for Explainable Link Forecasting on
  Temporal Knowledge Graphs
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Yushan Liu
Yunpu Ma
Marcel Hildebrandt
Mitchell Joblin
Volker Tresp
32
131
0
15 Dec 2021
Implications of Topological Imbalance for Representation Learning on
  Biomedical Knowledge Graphs
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Stephen Bonner
Ufuk Kirik
Ola Engkvist
Jian Tang
Ian P Barrett
30
19
0
13 Dec 2021
Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
G. Edwards
Sebastian Nilsson
Benedek Rozemberczki
Eliseo Papa
23
12
0
20 Nov 2021
Learning through structure: towards deep neuromorphic knowledge graph
  embeddings
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
Dominik Dold
GNN
21
7
0
21 Sep 2021
From LSAT: The Progress and Challenges of Complex Reasoning
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang
Zhongkun Liu
Wanjun Zhong
Ming Zhou
Zhongyu Wei
Zhumin Chen
Nan Duan
ELM
38
44
0
02 Aug 2021
Understanding the Performance of Knowledge Graph Embeddings in Drug
  Discovery
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
Ola Engkvist
Charles Tapley Hoyt
William L. Hamilton
63
51
0
17 May 2021
Heterogeneous Relational Reasoning in Knowledge Graphs with
  Reinforcement Learning
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Mandana Saebi
Steven J. Krieg
Chuxu Zhang
Meng Jiang
Nitesh Chawla
27
13
0
12 Mar 2020
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
62
209
0
24 May 2017
1