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cs.LG2023
Some Might Say All You Need Is Sum
Eran Rosenbluth, Jan Toenshoff, Martin Grohe
The expressivity of Graph Neural Networks (GNNs) is dependent on the aggregation functions they employ. Theoretical works have pointed towards Sum aggregation GNNs subsuming every…
cs.LG2021★ 1 cited
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf +1
We propose CRaWl, a novel neural network architecture for graph learning. Like graph neural networks, CRaWl layers update node features on a graph and thus can freely be combined o…