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cs.LG2023
A Local Graph Limits Perspective on Sampling-Based GNNs
Yeganeh Alimohammadi, Luana Ruiz, Amin Saberi
We propose a theoretical framework for training Graph Neural Networks (GNNs) on large input graphs via training on small, fixed-size sampled subgraphs. This framework is applicable…
econ.TH2023★ 2 cited
Incentive Compatibility in the Auto-bidding World
Yeganeh Alimohammadi, Aranyak Mehta, Andres Perlroth
Auto-bidding has recently become a popular feature in ad auctions. This feature enables advertisers to simply provide high-level constraints and goals to an automated agent, which…