Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types

Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types

Dynamic heterogeneous graphs comprise different types of events with temporal labels. In many real-world scenarios, the temporal order of different types of events possibly implies causal relationships between these event types. However, existing methods designed to model dynamic heterogeneous graph...

Full description

Bibliographic Details
Main Authors: Jiarun Zhu, Xingyu Wu, Muhammad Usman, Xiangyu Wang, Huanhuan Chen
Format: Article
Language:English
Published: Tsinghua University Press 2022-06-01
Series:International Journal of Crowd Science
Subjects:
heterogeneous graph
attention network
link prediction
continuous-time model
Online Access:https://www.sciopen.com/article/10.26599/IJCS.2022.9100013

Internet

https://www.sciopen.com/article/10.26599/IJCS.2022.9100013

Similar Items