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Benedikt Schesch

1 accepted papers

2023

Agent-based Graph Neural Networks

ICLR 2023poster

We present a novel graph neural network we call AgentNet, which is designed specifically for graph-level tasks. AgentNet is inspired by sublinear algorithms, featuring a computational complexity that is independent of the graph size. The architecture of AgentNet differs fundamentally from the archit…