21 citations · 88 across the 14 of their papers we have counts for
3 papers · 2 filters
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network
Sambaran Bandyopadhyay, Vishal Peter
Graph neural networks (GNNs) are able to achieve promising performance on multiple graph downstream tasks such as node classification and link prediction. Comparatively lesser work…
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description
Sambaran Bandyopadhyay, Saley Vishal Vivek, M. N. Murty
Network (or graph) embedding is the task to map the nodes of a graph to a lower dimensional vector space, such that it preserves the graph properties and facilitates the downstream…
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs
Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
Network representation learning and node classification in graphs got significant attention due to the invent of different types graph neural networks. Graph convolution network (G…