Haohai Sun — accepted AI-conference papers

2022

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, Kun He

EMNLP 2022main

Temporal Knowledge Graph (TKG) reasoning has attracted increasing attention due to its enormous potential value, and the critical issue is how to model the complex temporal structure information effectively. Recent studies use the method of encoding graph snapshots into hidden vector space and then…

Cited by 40 Source ↗PDF ↗code ↗Scholar ↗

2021

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He

EMNLP 2021main

Temporal knowledge graph (TKG) reasoning is a crucial task that has gained increasing research interest in recent years. Most existing methods focus on reasoning at past timestamps to complete the missing facts, and there are only a few works of reasoning on known TKGs to forecast future facts. Comp…

Cited by 190 Source ↗PDF ↗code ↗Scholar ↗