GB-GNN

Graph Neural Network Optimizer

Analyzes and optimizes the performance of graph neural networks using gradient boosting and various aggregation models.

Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks

GitHub

13 stars
3 watching
4 forks
Language: Jupyter Notebook
last commit: over 4 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
ivaniscoding/gnn-for-combinatorial-optimization An implementation of graph neural networks for solving combinatorial optimization problems 43
tensorflow/gnn Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. 1,372
aqibsaeed/genetic-cnn A tool for exploring and optimizing the architecture of Convolutional Neural Networks using a Genetic Algorithm 218
ahmedfgad/neuralgenetic Trains artificial neural networks using the genetic algorithm 241
bupt-gamma/openhgnn An open-source toolkit for training and applying heterogeneous graph neural networks using PyTorch and the Deep Graph Library. 879
je-dbl/gnn-recsys A framework for building and training Graph Neural Networks for recommendation systems 284
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 403
dawnranger/pytorch-agnn An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning 146
gasteigerjo/ppnp Implementations of a graph neural network model for personalized graph classification 321
datake/adagcn An implementation of an AdaGCN model that adapts Graph Convolutional Networks to deep models for graph neural networks tasks. 60
stormraiser/gan-weight-norm Improves the performance of Generative Adversarial Networks by normalizing weights and batch data 181
sangyx/gtrick A collection of reusable techniques to improve the performance of graph neural networks. 287
deepgraphlearning/gmnn A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. 403
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 270
donggong1/learn-optimizer-rgdn An implementation of deep learning-based optimization method for image deconvolution, which improves the quality of blurry images by generating new blur kernels. 32