invariance topic

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org...

stanford-futuredata

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

beabevi

Rust newtype with guarantees 🇺🇦 🦀

greyblake

Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023

chao1224

Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

lucmos

Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)

PurdueMINDS

Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023

sophiaas

Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"

sophiaas

A List of Papers on Theoretical Foundations of Graph Neural Networks

jiaqingxie