1 citations · 1 across the 3 of their papers we have counts for
3 papers
Benchmarking Toxic Molecule Classification using Graph Neural Networks and Few Shot Learning
Bhavya Mehta, Kush Kothari, Reshmika Nambiar +1
Traditional methods like Graph Convolutional Networks (GCNs) face challenges with limited data and class imbalance, leading to suboptimal performance in graph classification tasks…
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study
Kush Kothari, Bhavya Mehta, Reshmika Nambiar +1
This survey paper presents a brief overview of recent research on graph data augmentation and few-shot learning. It covers various techniques for graph data augmentation, including…
Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies
Bhavya Mehta, Nirmit Deliwala, Madhav Chandane
Multimodal single-cell technologies enable the simultaneous collection of diverse data types from individual cells, enhancing our understanding of cellular states. However, the int…