Papers by Youfang Lin

3 papers
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation (2026.acl-long)

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Challenge: Temporal Knowledge Graphs (TKGs) store dynamic facts in the real world.
Approach: They propose a Spatial-Temporal Knowledge Adapter which integrates the evolving graph encoder and the LLM to facilitate TKG reasoning.
Outcome: The proposed method outperforms state-of-the-art methods on benchmark datasets and exhibits strong generalization capabilities in cross-dataset task.
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction (2023.findings-emnlp)

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Challenge: Existing knowledge graph reasoning methods are inadequate for missing knowledge . Various methods are explored to facilitate reasoning for missing information .
Approach: They propose a novel knowledge graph reasoning approach that uses a query-related fusion gate unit to model the sequentiality of relation composition and a buffering update mechanism to alleviate lagged entity information propagation.
Outcome: Experimental results show that the proposed approach is superior on both transductive and inductive link prediction tasks.
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning (2025.acl-long)

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Challenge: Existing Continual Learning (CL)-based Temporal Knowledge Graph Reasoning methods are incomplete and reorganize historical facts without preserving historical knowledge.
Approach: They propose a method which generates and adaptively replays historical entity distributions from the whole historical context.
Outcome: The proposed method outperforms baselines in reasoning and mitigating forgetting.

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