Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation

no code implementations • 28 Dec 2023 • Dibaloke Chanda, Saba Heidari Gheshlaghi, Nasim Yahya Soltani

A novel explainability-based method is proposed to identify important nodes in the graph and perform edge perturbation between these nodes.

Adversarial Attack Node Classification

A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid

no code implementations • 18 Sep 2023 • Dibaloke Chanda, Nasim Yahya Soltani

In this paper, we propose a heterogeneous multi-task learning graph neural network (MTL-GNN) capable of detecting, locating and classifying faults in addition to providing an estimate of the fault resistance and current.

Multi-Task Learning

A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification

no code implementations • 21 Jun 2022 • Tareque Bashar Ovi, Sauda Suara Naba, Dibaloke Chanda, Md. Saif Hassan Onim

After ensemble, we report an increase of 6. 36% accuracy than previous MLP-based algorithms.

Time Series Time Series Analysis +1