Papers by Xiongnan Jin

1 papers
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs (2024.naacl-long)

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Challenge: Temporal knowledge graphs (TKGs) are powerful tools for storing and modeling dynamic facts.
Approach: They propose a Hawkes process-based temporal causal convolutional network for temporal reasoning under extrapolation settings.
Outcome: The proposed network is based on Hawkes process-based temporal causal convolutional network and captures the temporal evolution of facts.

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