Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.
MIT License
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Implementation of character based convolutional neural network
Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Represent...
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computat...
A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training an...
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...
Graph Neural Network Library for PyTorch
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Pytorch framework for doing deep learning on point clouds.
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on...
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
Train high-quality text-to-image diffusion models in a data & compute efficient manner