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20092022
most citedGoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

97 citations · 167 across the 24 of their papers we have counts for

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14 papers · 1 filter

cs.DB2022

TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs

You Peng, Xuemin Lin, Michael Yu +2

The Feedback vertex set with the minimum size is one of Karp's 21 NP-complete problems targeted at breaking all the cycles in a graph. This problem is applicable to a broad variety…

cs.DB2021

Higher-Order Neighborhood Truss Decomposition

Zi Chen, Long Yuan, Li Han +1

-truss model is a typical cohesive subgraph model and has been received considerable attention recently. However, the -truss model only considers the direct common neighbors…

cs.DB2021★ 1 cited

FAST: FPGA-based Subgraph Matching on Massive Graphs

Xin Jin, Zhengyi Yang, Xuemin Lin +3

Subgraph matching is a basic operation widely used in many applications. However, due to its NP-hardness and the explosive growth of graph data, it is challenging to compute subgra…

cs.DB2020★ 2 cited

Efficient and Effective Community Search on Large-scale Bipartite Graphs

Kai Wang, Wenjie Zhang, Xuemin Lin +3

Bipartite graphs are widely used to model relationships between two types of entities. Community search retrieves densely connected subgraphs containing a query vertex, which has b…

cs.DB2020★ 1 cited

AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing

Michael Yu, Lu Qin, Ying Zhang +2

Triangle listing is an important topic significant in many practical applications. Efficient algorithms exist for the task of triangle listing. Recent algorithms leverage an orient…

cs.DB2020★ 4 cited

Efficient Bitruss Decomposition for Large-scale Bipartite Graphs

Kai Wang, Xuemin Lin, Lu Qin +2

Cohesive subgraph mining in bipartite graphs becomes a popular research topic recently. An important structure k-bitruss is the maximal cohesive subgraph where each edge is contain…