Papers by Yuwei Du

2 papers
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs (2025.coling-main)

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Challenge: Temporal knowledge graph reasoning is a useful tool for many practical tasks.
Approach: They propose a Hawkes process-based Evolutional Representation Learning Network model which learns structural information and evolutional patterns of a TKG simultaneously.
Outcome: The proposed model learns structural information and evolutional patterns of a TKG simultaneously, considering the characteristics of real-world networks: community structure, scale-free and temporal decaying.
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction (2025.naacl-long)

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Challenge: Existing methods to apply large language models to zero-shot next location prediction tasks are limited due to their limited computational power.
Approach: They propose a systematic agentic prediction framework to achieve generalized next location prediction.
Outcome: The proposed framework surpasses the leading baseline by 3.33% to 8.57% across 8 out of 12 metrics.

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