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The Top 23 Machine Learning Graph Neural Networks Open Source Projects

Open source projects categorized as Machine Learning Graph Neural Networks
Categories > Graph Neural Networks
Categories > Machine Learning > Machine Learning
Continual Skeletons ⭐ 16
Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"
most recent commit a year ago
Introduction To Deep Learning And Neural Networks Course ⭐ 16
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
most recent commit 3 years ago
Galevo23 Tutorials ⭐ 16
Tutorials for the KITP Galevo23 program
most recent commit 8 months ago
Awesome Graph Reduction ⭐ 16
Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
most recent commit 4 months ago
Awesome Graph Self Supervised Learning Based Recommendation ⭐ 15
A curated list of awesome graph & self-supervised-learning-based recommendation.
most recent commit 3 years ago
Gca Rom ⭐ 14
GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
most recent commit 3 months ago
Gtn ⭐ 14
Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)
most recent commit a year ago
Mpgan ⭐ 13
The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds
most recent commit 4 months ago
Awesome Transfer Learning On Graph ⭐ 13
A curated paper list about transfer learning (mainly domain adaption) on graphs. Graph transfer learning (Graph domain adaption).
most recent commit 4 months ago
Galaxc ⭐ 13
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
most recent commit 3 years ago
Erase ⭐ 12
[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
most recent commit 4 months ago
Personal Accepted Research ⭐ 12
Welcome to quote our published papers, and the codes have been uploaded.
most recent commit 4 months ago
Keypoint Diffusion ⭐ 12
A diffusion model for structure-based drug design with faster inference from learned representations of protein structure.
most recent commit 4 months ago
Directed Graph Neural Network ⭐ 12
Dir-GNN is a machine learning model that enables learning on directed graphs.
most recent commit a year ago
Lattice_rnn ⭐ 11
Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation
most recent commit 4 years ago
Extended Simgnn ⭐ 11
A PyTorch Geometric implementation of SimGNN with some extensions.
most recent commit 3 years ago
Representing Programs With Graphs ⭐ 11
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
most recent commit 5 years ago
Cheblienet ⭐ 10
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
most recent commit 2 years ago
Yassqueendb ⭐ 10
Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀
most recent commit a year ago
Graph_ml ⭐ 10
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
most recent commit a year ago
3d_step_classification ⭐ 10
A new approach for retrieval and classification of 3D models that directly performs in the CAD format without any format conversion to other representations like point clouds of meshes, thus avoiding any loss of information.
most recent commit a year ago
Halographnet ⭐ 10
Predict halo masses from simulations via graph neural networks
most recent commit 2 years ago
Enero ⭐ 9
Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL agent is implemented with the PPO algorithm
most recent commit a year ago
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