3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
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…
math.CO2022
Lattice models, differential forms, and the Yang-Baxter equation
Kedar Karhadkar
We introduce new methods to describe admissible states of the six-vertex and the eight-vertex lattice models of statistical mechanics. For the six-vertex model, we view the admissi…