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Sign and Basis Invariant Networks for Spectral Graph Representation Learning | Lim & Robinson
Graph Representation Learning and Its Applications | Cheng-Te Li | ACML 2021
Ron Levie - Transferability of Spectral Graph Convolutional Neural Networks - Seminar
Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks
Graph Neural Networks and Spectral Graph Theory- QCR Seminar Series- 4 April 2022- Dominic Jack
Understanding Over-Squashing and Bottlenecks on Graphs via Curvature | Jake Topping & F. Di Giovanni
Spectral Representation
A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks
IAIFI Summer Workshop 2023 - Stefanie Jegelka
Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
#3 - Attending to graph transformers
