most citedBenchmarking Toxic Molecule Classification using Graph Neural Networks and Few Shot Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

q-bio.QM2023★ 1 cited

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…

cs.LG2023

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…