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20232026
most citedUnifying Large Language Models and Knowledge Graphs: A Roadmap

1.2k citations · 1.2k across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

Tengfei Liu, Jiapu Wang, Yongli Hu +5

Radiology report generation (RRG) models typically focus on individual exams, often overlooking the integration of historical visual or textual data, which is crucial for patient f…

cs.AI2024

Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs

Xingrui Zhuo, Jiapu Wang, Gongqing Wu +2

Knowledge Graph Query Embedding (KGQE) aims to embed First-Order Logic (FOL) queries in a low-dimensional KG space for complex reasoning over incomplete KGs. To enhance the general…

cs.AI2024

Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion

Kai Sun, Jiapu Wang, Huajie Jiang +2

Conventional Knowledge graph completion (KGC) methods aim to infer missing information in incomplete Knowledge Graphs (KGs) by leveraging existing information, which struggle to pe…

cs.AI2024★ 6 cited

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning

Jiapu Wang, Kai Sun, Linhao Luo +5

Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer new knowled…

cs.AI2024

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion

Jiapu Wang, Zheng Cui, Boyue Wang +4

Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.…