activity
20202022
most citedGraph Neural Networks: Taxonomy, Advances and Trends

160 citations · 169 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2022

Envy-Free Cake Cutting with Graph Constraints

Ganesh Ghalme, Xin Huang, Nidhi Rathi

We study the classic problem of fairly dividing a heterogeneous and divisible resource -- represented by a cake, -- among agents. This work considers an interesting var…

cs.DB2022

Distributed D-core Decomposition over Large Directed Graphs

Xuankun Liao, Qing Liu, Jiaxin Jiang +3

Given a directed graph and integers and , a D-core is the maximal subgraph such that for every vertex of , its in-degree and out-degree are no smaller…

cs.SI2021★ 2 cited

Butterfly-Core Community Search over Labeled Graphs

Zheng Dong, Xin Huang, Guorui Yuan +2

Community search aims at finding densely connected subgraphs for query vertices in a graph. While this task has been studied widely in the literature, most of the existing works on…

cs.DB2021★ 6 cited

Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed

Yuli Jiang, Yu Rong, Hong Cheng +3

Given one or more query vertices, Community Search (CS) aims to find densely intra-connected and loosely inter-connected structures containing query vertices. Attributed Community…

cs.LG2020★ 160 cited

Graph Neural Networks: Taxonomy, Advances and Trends

Yu Zhou, Haixia Zheng, Xin Huang +3

Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks. Up to now, there have been several surveys…

cs.DB2020

Efficient and Optimal Algorithms for Tree Summarization with Weighted Terminologies

Xuliang Zhu, Xin Huang, Byron Choi +4

Data summarization that presents a small subset of a dataset to users has been widely applied in numerous applications and systems. Many datasets are coded with hierarchical termin…

cs.DB2020★ 1 cited

Truss-based Structural Diversity Search in Large Graphs

Jinbin Huang, Xin Huang, Jianliang Xu

Social decisions made by individuals are easily influenced by information from their social neighborhoods. A key predictor of social contagion is the multiplicity of social context…