5 papers
SGND: An Effective Learning-Based Approach for Subgraph Similarity Search Under Generalized Neighbor Difference Semantics (Technical Report)
Qi Wen, Xiang Lian, Nan Zhang +2
Subgraph similarity search over large-scale graphs is a fundamental task that retrieves subgraphs similar to a given query graph from a data graph, and it plays a crucial role in r…
Efficient Community Detection Over Streaming Bipartite Networks (Technical Report)
Nan Zhang, Yutong Ye, Xiang Lian +2
The streaming bipartite graph is widely used to model the dynamic relationship between two types of entities in various real-world applications, including movie recommendations, lo…
Continuous Subgraph Matching via Cost-Model-based Dynamic Vertex Dominance Embeddings (Technical Report)
Yutong Ye, Xiang Lian, Nan Zhang +1
In many real-world applications such as social network analysis, knowledge graph discovery, biological network analytics, and so on, graph data management has become increasingly i…
GCLS: Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics
Qi Wen, Yiyang Zhang, Yutong Ye +4
Due to the power of learning representations from unlabeled graphs, graph contrastive learning (GCL) has shown excellent performance in community detection tasks. Existing GCL-base…
Reverse Influential Community Search Over Social Networks (Technical Report)
Qi Wen, Nan Zhang, Yutong Ye +2
As an important fundamental task of numerous real-world applications such as social network analysis and online advertising/marketing, several prior works studied influential commu…