most citedDeep Structural Point Process for Learning Temporal Interaction Networks

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.SI2021★ 3 cited

Deep Structural Point Process for Learning Temporal Interaction Networks

Jiangxia Cao, Xixun Lin, Xin Cong +4

This work investigates the problem of learning temporal interaction networks. A temporal interaction network consists of a series of chronological interactions between users and it…