InterleavedGroupConvolutions

IGCNets

An implementation of a novel neural network architecture that combines group convolutions with interleaving to improve performance and efficiency.

GitHub

111 stars
11 watching
33 forks
Language: Python
last commit: almost 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
hongyanggao/lgcn An implementation of learnable graph convolutional networks for efficient graph processing 46
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 270
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 403
matenure/fastgcn Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency 520
benedekrozemberczki/clustergcn A PyTorch implementation of a clustering algorithm for graph neural networks 788
liqimai/gcn An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. 45
bupt-gamma/openhgnn An open-source toolkit for training and applying heterogeneous graph neural networks using PyTorch and the Deep Graph Library. 879
clhchtcjj/bine This repository provides an implementation of a bipartite network embedding algorithm for collaborative filtering and link prediction tasks. 227
benedekrozemberczki/graphwaveletneuralnetwork An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. 577
dawnranger/pytorch-agnn An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning 146
gram-ai/radio-transformer-networks An implementation of a machine learning-based communications system using deep learning techniques. 127
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 367
chingyaoc/ggnn.pytorch An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. 466
homles11/igcv3 An implementation of an efficient deep neural network architecture 189
szagoruyko/binary-wide-resnet An implementation of a 1-bit weight neural network architecture using PyTorch 124