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Search results for graph neural networks pytorch geometric
graph-neural-networks
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pytorch-geometric
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35 search results found
Autogl
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1,035
An autoML framework & toolkit for machine learning on graphs.
Graphein
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932
Protein Graph Library
Geometric Gnn Dojo
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307
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Pna
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269
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Sgcn
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253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Nodeformer
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244
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Difformer
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204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Graph_attention_pool
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161
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Good
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157
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
Pyg_autoscale
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127
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Graph Neural Network Course
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89
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Greatx
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75
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Molclr
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73
Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric
3dinfomax
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64
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Graphcon
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45
GraphCON (ICML 2022)
Geometric Rna Design
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44
gRNAde: Geometric Deep Learning for RNA Design
Graphood Gnnsafe
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42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Lpgnn
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39
Locally Private Graph Neural Networks (ACM CCS 2021)
Gradientgating
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29
Gradient gating (ICLR 2023)
Fastgraphml
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27
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
Graphchem
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24
Graph-based machine learning for chemical property prediction
Gap
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23
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Pytorch Gnn Research
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20
Various Applications and Descriptions of GNN with Pytorch, Pytorch Geometric.
Selar
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17
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Molecule Graph Generation
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10
Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
Graph_ml
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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.
Leci
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9
The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)
Log 2023 Gnns Recsys
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9
Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)
Denoise Pretrain Ml Potential
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7
Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.
Gnn Powerflow
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7
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework.
Scaled
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6
ScaLed: Improving SEAL by random walks
Imolclr
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6
Implementation of "Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast".
Pocket Cfdm
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6
Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets
Iguana
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5
Interpretable Gland-Graph Networks
S3grl
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5
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
Graph Transformer Psiml
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5
Transformer implemented with graph attention network layers from PyTorch Geometric
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1-35 of 35 search results
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