Poster
in
Workshop: Temporal Graph Learning Workshop @ NeurIPS 2023
Towards predicting future time intervals on Temporal Knowledge Graphs
Roxana Pop · Egor Kostylev
Abstract:
Temporal Knowledge Graphs (TKGs), a temporal extension of Knowledge Graphs where facts are contextualized by time information, have received increasing attention in the temporal graph learning community. In this paper we focus on TKGs where the temporal contexts are time intervals,and address the time prediction problem in the forecasting setting.We propose both a system for addressing the task, as well as a benchmark construction methodology.
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