2 papers
cs.LG2021
Variational Co-embedding Learning for Attributed Network Clustering
Shuiqiao Yang, Sunny Verma, Borui Cai +4
Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is e…
cs.SI2021
Network Growth From Global and Local Influential Nodes
Jiaojiao Jiang, Sanjay Jha
In graph theory and network analysis, node degree is defined as a simple but powerful centrality to measure the local influence of node in a complex network. Preferential attachmen…