23 citations · 99 across the 15 of their papers we have counts for
3 papers · 1 filter
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar
Graph neural networks (GNNs) are able to leverage the structure of graph data by passing messages along the edges of the graph. While this allows GNNs to learn features depending o…
Oversquashing in GNNs through the lens of information contraction and graph expansion
Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang +2
The quality of signal propagation in message-passing graph neural networks (GNNs) strongly influences their expressivity as has been observed in recent works. In particular, for pr…
Continuity and Additivity Properties of Information Decompositions
Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich +2
Information decompositions quantify how the Shannon information about a given random variable is distributed among several other random variables. Various requirements have been pr…