4 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…
S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics (Technical Report)
Qi Wen, Yutong Ye, Xiang Lian +1
For the past decades, the \textit{subgraph similarity search} over a large-scale data graph has become increasingly important and crucial in many real-world applications, such as s…
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…