DSGCN: A Degree Strength Graph Convolution Network for Identifying Influential Nodes in Complex Networks. - Srestha Sadhu; Anju Bhuiya; Animesh Dutta (WI/IAT, 2023)

STC+K: A Semi-Global Triangular and Degree Centrality Method to Identify Influential Spreaders in Complex Networks. - Srestha Sadhu; Amrita Namtirtha; Mariana Curado Malta; Animesh Dutta (WI/IAT, 2023)

LPC: A Local Path-Based Centrality Method for Identifying Influential Nodes in Temporal Networks. - Srestha Sadhu; Deepanwita Mallick; Amrita Namtirtha; Mariana Curado Malta; Animesh Dutta (COMAD/CODS (December), 2024)

A Time-Variant Graph Network Model for Societal Dynamics. - Srestha Sadhu; Anju Bhuiya; Deepanwita Mallick; Animesh Dutta (COMSNETS, 2024)

Normalized strength-degree centrality: identifying influential spreaders for weighted network. - Srestha Sadhu; Amrita Namtirtha; Mariana Curado Malta; Animesh Dutta (Soc. Netw. Anal. Min., 2024)

TGNN-Bet: Approximation of Temporal Betweenness Centrality using Temporal Graph Neural Network. - Srestha Sadhu; Kusum Kumari; Amrita Namtirtha; Mariana Curado Malta; Animesh Dutta (COMSNETS, 2025)

TMGCN-ATT: A Traffic Prediction Model with Multi-Hop GCN and Self-Attention Mechanisms. - Srestha Sadhu; Deepanwita Mallick; Amrita Namtirtha; Animesh Dutta (COMSNETS, 2025)