MADEPT: Advanced Data Mining and Deep-Tech Lab

Advancing unsupervised graph clustering, incremental learning algorithms, and adaptive anomaly detection. Developing scalable machine learning solutions for complex networks and dynamic data systems.

20+
Publications
5+
Team Members
Panthadeep Bhattacharjee

Panthadeep Bhattacharjee

Assistant Professor

Department Of Computer Science and Engineering

National Institute Of Technology, Rourkela

Latest Updates

Nov 2025 Two papers accepted at 41st ACM/SIGAPP Symposium On Applied Computing, Thessaloniki, Greece
Nov 2025 Devansh and Shreyash got the Internship from SAMSUNG R&D Bengaluru
Nov 2025 Travel grants awarded to the Student Authors of two of the papers that are accepted for presenting at ACM IKDD CODS 2025
Nov 2025 Two papers accepted at IC2SDT 2025 - NIT Delhi
Oct 2025 Papers accepted at the 22nd ICDCIT
Revise to Precise: Self-Assessing Chain-of-Draft for Robust Decision-Making in LLMs
Oct 2025 Paper accepted at the 13th International Conference on Data Science, ACM IKDD CODS 2025
BiMass: Towards Batch-incremental Clustering using Mass-based dissimilarity
Oct 2025 Paper accepted at the 13th International Conference on Data Science, ACM IKDD CODS 2025
Multi-Scale Diffusion Enhancement for Graph Clustering with Heat and PPR Kernels
Oct 2025 Paper accepted at the 13th International Conference on Data Science, ACM IKDD CODS 2025
Attributed Modularity Loss for Improved Graph Clustering

Research Areas

Graph Neural Networks and Clustering

Developing self-supervised GNN architectures for unsupervised graph clustering and community detection in complex networks using deep learning and contrastive learning approaches.

Incremental Data Mining Algorithms

Designing adaptive incremental clustering algorithms for dynamic datasets including BISDBx, iMass, and BiMass using density-based approaches for real-time data stream analysis.

Adaptive Anomaly Detection Systems

Creating intelligent outlier detection frameworks using kernel density estimation and grid-based methods for identifying anomalies in evolving data streams and large-scale systems.

Research Work

G-DMoNLite: A Novel Modularity-Based Approach for Graph Clustering

Ongoing

Advancing unsupervised graph clustering through stable GNN architectures. Developed G-DMoNLite for efficient community detection with improved training stability and reproducibility.

Modularity-driven Intelligent Mapping for Improved Clustering

Ongoing

Enhancing Graph Clustering framework through curriculum learning that gradually transitions from structural to semantic optimization, combined with entropy-based confidence weighting.

Attributed Modularity Loss for Improved Graph Clustering

Ongoing

Developing modularity-based loss functions that jointly optimize graph structure and node attributes. Created attributed modularity loss to improve clustering quality by integrating topological and feature information in neural graph clustering frameworks.

Publications

2025

Conference

BiMass: Towards Batch-incremental Clustering using Mass-based Dissimilarity

Panthadeep Bhattacharjee (NIT Rourkela), Sandeep Vidyapu (University of Stuttgart)

13th International Conference on Data Science (ACM IKDD CODS 2025)

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Conference

Multi-Scale Diffusion Enhancement for Graph Clustering with Heat and PPR Kernels

Devansh Maru (NIT Rourkela), Shreyash Gaurav (NIT Rourkela), Arpit Kurmi (NIT Rourkela), Shashwat Panigrahi (NIT Rourkela), Panthadeep Bhattacharjee (NIT Rourkela)

13th International Conference on Data Science (ACM IKDD CODS 2025)

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Conference

Attributed Modularity Loss for Improved Graph Clustering

Shashwat Panigrahi (NIT Rourkela), Devansh Maru (NIT Rourkela), Shreyash Gaurav (NIT Rourkela), Arpit Kurmi (NIT Rourkela), Panthadeep Bhattacharjee (NIT Rourkela)

13th International Conference on Data Science (ACM IKDD CODS 2025)

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Team

Current Students

Shaswat Kumar Panigrahi

Phd Scholar

Putcha Sai Kiran

Phd Scholar

Govind Kumar Das

M.Tech'25

Devansh Maru

M.Tech'26

Shreyash Gaurav

M.Tech'26

Arpit Kurmi

M.Tech'26

Alumni

Ruthala Poojitha

M.Tech'25

Kshitiz Chandra

M.Tech'25

Contact

Email

bhattacharjeep@nitrkl.ac.in

panthadeep.edu@gmail.com

Office

Room Number: CS-320

Department of Computer Science and Engineering

National Institute of Technology Rourkela

Odisha, India - 769008