1 citations · 3 across the 7 of their papers we have counts for
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cs.AI2023
Over-Squashing in Graph Neural Networks: A Comprehensive survey
Singh Akansha
Graph Neural Networks (GNNs) revolutionize machine learning for graph-structured data, effectively capturing complex relationships. They disseminate information through interconnec…
cs.LG2023★ 1 cited
Addressing the Impact of Localized Training Data in Graph Neural Networks
Akansha A
Graph Neural Networks (GNNs) have achieved notable success in learning from graph-structured data, owing to their ability to capture intricate dependencies and relationships betwee…