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Projects in Awesome Lists tagged with dgl
A curated list of projects in awesome lists tagged with dgl .
https://github.com/graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
benchmark-framework deep-learning dgl graph-deep-learning graph-neural-networks graph-representation-learning pytorch
Last synced: 13 Dec 2024
https://github.com/awslabs/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
dgl graph-learning knowledge-graph knowledge-graphs-embeddings machine-learning
Last synced: 20 Dec 2024
https://github.com/a-r-j/graphein
Protein Graph Library
bioinformatics computational-biology deep-learning dgl drug-discovery gene-regulatory-networks geometric-deep-learning graph-neural-networks interactome interactomics ppi-networks protein protein-data-bank protein-design protein-structure python pytorch pytorch-geometric rna structural-biology
Last synced: 20 Dec 2024
https://github.com/BUPT-GAMMA/OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
dgl graph-neural-networks heterogeneous pytorch
Last synced: 28 Nov 2024
https://github.com/awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
bioinformatics cheminformatics deep-learning dgl drug-discovery geometric-deep-learning graph-neural-networks molecule
Last synced: 20 Dec 2024
https://github.com/edisonleeeee/graphgallery
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch
Last synced: 16 Dec 2024
https://github.com/EdisonLeeeee/GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch
Last synced: 12 Nov 2024
https://github.com/lukecavabarrett/pna
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
dgl graph-machine-learning graph-neural-networks pytorch pytorch-geometric
Last synced: 28 Nov 2024
https://github.com/sangyx/gtrick
Bag of Tricks for Graph Neural Networks.
dgl graph-neural-networks torch-geometric
Last synced: 22 Dec 2024
https://github.com/dmlc/gnnlens2
Visualization tool for Graph Neural Networks
deep-learning dgl explainability graph-neural-networks graph-representation-learning graph-visualization pytorch visualization xai
Last synced: 16 Dec 2024
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
amplify-js appsync aws aws-cdk dgl documentdb fraud-detection gnn graph-database neptune sagemaker
Last synced: 16 Nov 2024
https://github.com/intellabs/matsciml
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
ai dgl pytorch pytorch-lightning
Last synced: 22 Dec 2024
https://github.com/IntelLabs/matsciml
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
ai dgl pytorch pytorch-lightning
Last synced: 20 Nov 2024
https://github.com/Saro00/DGN
Implementation of Directional Graph Networks in PyTorch and DGL
dgl graph-machine-learning graph-neural-networks pytorch spectral-methods
Last synced: 28 Nov 2024
https://github.com/taishan1994/dgl_chinese_manual
DGL中文文档。This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.
deep-learning dgl dgl-neural-networks gcn
Last synced: 05 Nov 2024
https://github.com/diffeqml/pde-dataset-generator
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
arcsim dgl fenics generating-datasets graph su2
Last synced: 07 Nov 2024
https://github.com/jetbrains-research/embeddings-for-trees
Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
dgl embedding-trees ml4code ml4se pytorch pytorch-lightning tree-lstm
Last synced: 03 Dec 2024
https://github.com/yuyangw/denoise-pretrain-ml-potential
Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.
chemical-physics dgl equivariant-representations graph-neural-networks molecular-simulation pytorch pytorch-geometric self-supervised-learning
Last synced: 24 Nov 2024
https://github.com/edisonleeeee/guard
[CIKM 2023] GUARD: Graph Universal Adversarial Defense
adversarial-defense dgl graph-adversarial-learning graph-neural-networks
Last synced: 13 Nov 2024
https://github.com/nhatsmrt/arxiv-prediction
Predict CS Paper's Subject Area Using Graph Neural Networks
dgl graph-neural-networks pytorch-lightning
Last synced: 15 Nov 2024
https://github.com/lupusruber/protein-function-annotation-project
This project implements models for Protein-Protein Interaction (PPI) prediction, focusing on graph-based methods such as the SOTA GNN model call GIPA.
Last synced: 17 Dec 2024
https://github.com/sanjaradylov/yamlchem
Yet Another Machine Learning package for Chemistry
cheminformatics deep-learning dgl graph-neural-networks mxnet
Last synced: 09 Nov 2024
