Awesome papers on weight-space learning

A library for subgraph GNN based on pyg

Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)

Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]

A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipman https://openreview.net/forum?id=Syx72jC9tm. …

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Code for the Neurips 2018 paper "(Probably) Concave Graph Matching"

PyTorch implementation of the 2021 INTERSPEECH paper "Scene-Agnostic Multi-Microphone Speech Dereverberation"

Paper list for equivariant neural network

Graph Neural Network Library for PyTorch

lakeFS - Data version control for your data lake | Git for data

Point Convolutional Neural Networks by Extension Operators

Gemini is a modern LaTex beamerposter theme 🖼