8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023
A Causal Disentangled Multi-Granularity Graph Classification Method
Yuan Li, Li Liu, Penggang Chen +2
Graph data widely exists in real life, with large amounts of data and complex structures. It is necessary to map graph data to low-dimensional embedding. Graph classification, a cr…
cs.SI2022★ 1 cited
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning
Li Liu, Penggang Chen, Xin Li +4
Aligning users across networks using graph representation learning has been found effective where the alignment is accomplished in a low-dimensional embedding space. Yet, achieving…
cs.SI2021★ 8 cited
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Zihan Yan, Li Liu, Xin Li +4
Social network alignment aims at aligning person identities across social networks. Embedding based models have been shown effective for the alignment where the structural proximit…