28 citations · 35 across the 22 of their papers we have counts for
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stat.ME2026
Different Statistical Perspectives for Understanding Generalisation in Graph Neural Networks
Nil Ayday, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar
Graph Neural Networks (GNN) are currently the most popular approach for learning and prediction on graph-structured data and are deployed in various fields, from social network ana…
stat.ME2017★ 28 cited
Two-Sample Tests for Large Random Graphs Using Network Statistics
Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier +1
We consider a two-sample hypothesis testing problem, where the distributions are defined on the space of undirected graphs, and one has access to only one observation from each mod…