Cover Image

Logic Programming on Knowledge Graph Networks And its Application in Medical Domain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Chuanqing, Zhao, Zhenmin, Du, Shanshan, Fei, Chaoqun, Zhang, Songmao, Lu, Ruqian
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
by: Cheng, Keyuan, et al.
Published: (2024)

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)

Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
by: Bi, Zhen, et al.
Published: (2025)

Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)

Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs
by: Lu, Fan, et al.
Published: (2024)

Learning Granularity Representation for Temporal Knowledge Graph Completion
by: Zhang, Jinchuan, et al.
Published: (2024)

Efficient Relational Context Perception for Knowledge Graph Completion
by: Tu, Wenkai, et al.
Published: (2024)

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
by: Xiao, Yongkang, et al.
Published: (2025)

Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
by: Rocha, Filipe Marinho, et al.
Published: (2024)

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
by: Chen, Hanzhu, et al.
Published: (2024)

A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
by: Kabal, Othmane, et al.
Published: (2026)

From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
by: Cai, Borui, et al.
Published: (2023)

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
by: Zhang, Yanxiang, et al.
Published: (2025)

Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
by: Ma, Ying, et al.
Published: (2024)

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
by: Ding, Hongxin, et al.
Published: (2024)

Domain Gating Ensemble Networks for AI-Generated Text Detection
by: Tripathi, Arihant, et al.
Published: (2025)

Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
by: García-Ferrero, Iker, et al.
Published: (2024)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)

ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
by: Wang, Zhilin, et al.
Published: (2025)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)

CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
by: Meher, Dipak, et al.
Published: (2025)

KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
by: Zheng, Shangshang, et al.
Published: (2023)

Progressive Knowledge Graph Completion
by: Li, Jiayi, et al.
Published: (2024)

Distributed Representations of Entities in Open-World Knowledge Graphs
by: Guo, Lingbing, et al.
Published: (2020)

Power Transformer Fault Prediction Based on Knowledge Graphs
by: Wang, Chao, et al.
Published: (2024)

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
by: Zhang, Bowen, et al.
Published: (2024)

HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs
by: Xiao, Yongkang, et al.
Published: (2025)

On Creating an English-Thai Code-switched Machine Translation in Medical Domain
by: Pengpun, Parinthapat, et al.
Published: (2024)

Interpretable Question Answering with Knowledge Graphs
by: Aneja, Kartikeya, et al.
Published: (2025)

Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models
by: Zhao, Zhongyu, et al.
Published: (2024)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)

Algorithm Selection with Zero Domain Knowledge via Text Embeddings
by: Szeider, Stefan
Published: (2026)

Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
by: Ye, Hongbin, et al.
Published: (2023)

S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
by: Ma, Tengfei, et al.
Published: (2024)

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
by: Zhang, Zhongjian, et al.
Published: (2026)

Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine
by: Griot, Maxime, et al.
Published: (2024)

MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
by: Cabello, Laura, et al.
Published: (2024)

Model-based Subsampling for Knowledge Graph Completion
by: Feng, Xincan, et al.
Published: (2023)

Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)