pytorch_geometric_signed_directed

Graph neural network library

A PyTorch Geometric extension library for working with signed and directed graphs

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

GitHub

128 stars
7 watching
17 forks
Language: Python
last commit: 4 months ago
Linked from 2 awesome lists

deep-learningdirected-networksgnngraph-neural-netowrksmachine-learningnetworkspythonpytorchpytorch-geometricsigned-networks

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
chingyaoc/ggnn.pytorch An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. 465
benedekrozemberczki/pytorch_geometric_temporal A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models 2,669
sherylhyx/sssnet_signed_clustering Semi-supervised signed network clustering algorithm 23
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
benedekrozemberczki/capsgnn A PyTorch implementation of a graph neural network architecture 1,246
kimhc6028/relational-networks A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks 812
dyhan0920/pyramidnet-pytorch An implementation of a deep neural network architecture for image classification tasks 273
bupt-gamma/openhgnn An open-source toolkit for training and applying heterogeneous graph neural networks using PyTorch and the Deep Graph Library. 867
dawnranger/pytorch-agnn An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning 145
benedekrozemberczki/clustergcn A PyTorch implementation of a clustering algorithm for graph neural networks 787
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
norse/norse Deep learning framework for spiking neural networks 673
benedekrozemberczki/seal-ci A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. 208
xternalz/wideresnet-pytorch An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. 333
4uiiurz1/pytorch-res2net Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. 112