activity
20092023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 21.9k across the 280 of their papers we have counts for

collaborators
Showing 2015Show all

14 papers · 1 filter

cs.SI2015★ 92 cited

A Survey of Heterogeneous Information Network Analysis

Chuan Shi, Yitong Li, Jiawei Zhang +2

Most real systems consist of a large number of interacting, multi-typed components, while most contemporary researches model them as homogeneous networks, without distinguishing di…

cs.SI2015

Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation

Chuan Shi, Jian Liu, Fuzhen Zhuang +2

Recently, there is a surge of social recommendation, which leverages social relations among users to improve recommendation performance. However, in many applications, social relat…

cs.LG2015★ 15 cited

Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification

Bokai Cao, Xiangnan Kong, Jingyuan Zhang +2

Mining discriminative subgraph patterns from graph data has attracted great interest in recent years. It has a wide variety of applications in disease diagnosis, neuroimaging, etc.…

cs.LG2015★ 3 cited

A review of heterogeneous data mining for brain disorders

Bokai Cao, Xiangnan Kong, Philip S. Yu

With rapid advances in neuroimaging techniques, the research on brain disorder identification has become an emerging area in the data mining community. Brain disorder data poses ma…

cs.SI2015

Organizational Chart Inference

Jiawei Zhang, Philip S. Yu, Yuanhua Lv

Nowadays, to facilitate the communication and cooperation among employees, a new family of online social networks has been adopted in many companies, which are called the "enterpri…

cs.SI2015★ 1 cited

Mutual Community Detection across Multiple Partially Aligned Social Networks

Jiawei Zhang, Philip S. Yu

Community detection in online social networks has been a hot research topic in recent years. Meanwhile, to enjoy more social network services, users nowadays are usually involved i…