1 citations · 2 across the 6 of their papers we have counts for
6 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…
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…
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…
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…
Top-L Most Influential Community Detection Over Social Networks (Technical Report)
Nan Zhang, Yutong Ye, Xiang Lian +1
In many real-world applications such as social network analysis and online marketing/advertising, the community detection is a fundamental task to identify communities (subgraphs)…