About

I am a Research Fellow at the Machine Learning Lab, IIIT Hyderabad, working on cutting-edge research in artificial intelligence and machine learning. My research focuses on Graph Neural Networks (GNNs), particularly in the context of dynamic graphs, uncertainty management, and high-stakes applications.

Currently, I am pursuing my M.Sc in Electronics and Communication Engineering by Research at IIIT Hyderabad, where I explore novel approaches to temporal graph learning, reject option classification, and 3D computer vision applications.

Research Interests

Graph representation learning Graph neural networks Geometric deep learning Temporal graph networks Uncertainty optimization Knowledge graphs Molecular property prediction Molecular generation Large language models Explainable AI

Recent News

June 2025 Paper "Reducing Misclassification Risk in Dynamic Graph Neural Networks through Abstention" accepted at ASONAM 2025
June 2025 Paper "Confidence First: Reliability-Driven Temporal Graph Neural Networks" accepted at TGL Workshop, KDD 2025
May 2025 Started Google Summer of Code project on DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development
April 2025 Paper "Node Classification With Reject Option" accepted at TMLR 2025

Publications

2025

Reducing Misclassification Risk in Dynamic Graph Neural Networks through Abstention

Jayadratha Gayen, Himanshu Pal, Naresh Manwani, Charu Sharma

ASONAM 2025 Accepted

Confidence First: Reliability-Driven Temporal Graph Neural Networks

Jayadratha Gayen, Himanshu Pal, Naresh Manwani, Charu Sharma

KDD 2025 Temporal Graph Learning (TGL) Workshop Accepted

Node Classification With Reject Option

Uday Bhaskar, Jayadratha Gayen, Charu Sharma, Naresh Manwani

TMLR 2025 Accepted

2024

Node Classification With Integrated Reject Option For Legal Judgement Prediction

Uday Bhaskar, Jayadratha Gayen, Charu Sharma, Naresh Manwani

AAAI 2025 Deployable AI (DAI) Workshop Accepted

Projects

2024

Node Classification With Integrated Reject Option

Introduced NodeCwR framework incorporating cost-based and coverage-based rejection strategies. Achieved 6-19% improvement in prediction accuracy on ILDC dataset for Legal Judgment Prediction.

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2024

Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning

Developed novel reject option strategy for CTDGs allowing model abstention from uncertain predictions. Achieved 10-15% improvement in AUC/AP scores across six dynamic graph datasets.

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2023

3D Motion Transfer Across Diverse Character Topologies

Developed method using Graph Convolution Networks for realistic 3D motion transfer between diverse character topologies. Incorporated prior frame encodings to reduce jitter.

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2022

Multilingual News Article Similarity Detection Using Siamese Networks

Developed multilingual news similarity detection system. Achieved best result with multilingual DistilBERT (PCC: 0.5683) in SemEval 2022 Task 8.

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Experience

May 2025 - Present

Software Developer

Google Summer of Code, Remote

Project: DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development. Model C. elegans embryogenesis and connectome formation using advanced temporal graph methods.

Nov 2022 - July 2025

MS Research Fellow

Machine Learning Lab - MLL (IIITH), Hyderabad, India

Conducted research on GNNs, high-stakes applications like legal judgment prediction, disease prediction. Explored continuous time dynamic graphs (CTDGs), reject option classification. Worked on 3D computer vision applications.

July 2018 - Dec 2019

Engineer

Vikram Solar Limited, Falta, West Bengal, India

Contributed to Six Sigma project increasing production by 10%. Involved in bottleneck analysis, DOE in Minitab, and optimization analyses. Led KAIZEN projects achieving 2% reduction in power consumption.

Teaching

October 2023

Instructor - Executive Training Program on AIML

ihub-data, IIIT Hyderabad

Coordinated two-week executive training program. Conducted tutorials on PCA and end-to-end ML model building.

May 2023

Teaching Assistant - 3D Vision Summer School

CVIT, IIIT Hyderabad

Conducted tutorial on graph neural networks and their applications in 3D vision, especially mesh-based systems.

Curriculum Vitae

Download my complete CV to learn more about my academic background, research experience, and technical skills.

Education

M.Sc in Electronics and Communication Engineering by Research

International Institute of Information Technology, Hyderabad

July 2022 - July 2025 | GPA: 8.29/10

Bachelor of Technology in Electrical Engineering

Indian Institute of Engineering Science and Technology, Shibpur

July 2014 - June 2018 | GPA: 8.02/10

Technical Skills

Programming Languages

Python, C, SQL

ML/DL Libraries

PyTorch, PyG, scikit-learn, TensorFlow, Keras, Transformers

Tools & Software

GitHub, VS Code, Conda, Poetry, Blender, MeshLab, Minitab, MATLAB Simulink