activity
20162021
most citedA Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

152 citations · 454 across the 15 of their papers we have counts for

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Showing cs.SIShow all

5 papers · 1 filter

cs.SI2021

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks

Wenyi Xiao, Huan Zhao, Vincent W. Zheng +1

PathSim is a widely used meta-path-based similarity in heterogeneous information networks. Numerous applications rely on the computation of PathSim, including similarity search and…

cs.SI2020★ 4 cited

Social Explorative Attention based Recommendation for Content Distribution Platforms

Wenyi Xiao, Huan Zhao, Haojie Pan +3

In modern social media platforms, an effective content recommendation should benefit both creators to bring genuine benefits to them and consumers to help them get really interesti…

cs.SI2020

Vertex-reinforced Random Walk for Network Embedding

Wenyi Xiao, Huan Zhao, Vincent W. Zheng +1

In this paper, we study the fundamental problem of random walk for network embedding. We propose to use non-Markovian random walk, variants of vertex-reinforced random walk (VRRW),…

cs.SI2017

From Community Detection to Community Profiling

Hongyun Cai, Vincent W. Zheng, Fanwei Zhu +2

Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links. However, membership alone, without…

cs.SI2016★ 31 cited

From Node Embedding To Community Embedding

Vincent W. Zheng, Sandro Cavallari, Hongyun Cai +2

Most of the existing graph embedding methods focus on nodes, which aim to output a vector representation for each node in the graph such that two nodes being "close" on the graph a…