DeltaGNN: Graph Neural Network with Information Flow Control
DeltaGNN is introduced, to the best of the authors' knowledge, among the first scalable (featuring linear computational and memory complexity overhead) and generalizable (capable of effectively handling graphs with diverse homophily, density, and topology) architectures for long-range and short-range interaction detection.
Kevin Mancini, Islem Rekik
· IEEE Transactions on Pattern... · 2 citations