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Search results for graph neural networks geometric deep learning
geometric-deep-learning
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graph-neural-networks
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45 search results found
Pytorch_geometric
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20,093
Graph Neural Network Library for PyTorch
Deep Learning Drizzle
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10,767
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stellargraph
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2,768
StellarGraph - Machine Learning on Graphs
Deep_gcns_torch
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940
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Graphein
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932
Protein Graph Library
Pytorch_cluster
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700
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Chemicalx
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657
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Dgl Lifesci
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558
Python package for graph neural networks in chemistry and biology
Graphgallery
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440
GraphGallery is a gallery for benchmarking Graph Neural Networks.
Geometricflux.jl
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334
Geometric Deep Learning for Flux
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.
Ptgnn
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305
A PyTorch Graph Neural Network Library
Pyneuralogic
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261
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Torch Quiver
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256
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Difformer
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204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Deep Graph Matching Consensus
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170
Implementation of "Deep Graph Matching Consensus" in PyTorch
Pytorch_spline_conv
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160
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
Graph Convnet Tsp
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157
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Gnns In Network Neuroscience
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141
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Deepergnn
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138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Pyg Lib
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137
Low-Level Graph Neural Network Operators for PyG
Sgas
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129
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Gnn Lspe
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114
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Sgl
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106
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
Surfacenetworks
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77
Source code for CVPR 2018 Oral paper "Surface Networks"
Mxmnet
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66
Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"
Himp Gnn
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53
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
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"
Overlapping Community Detection
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40
Implementation of "Overlapping Community Detection with Graph Neural Networks"
Acm Gnn
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36
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
Physics Aware Multiplex Gnn
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35
Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"
Deepinteract
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33
A geometric deep learning pipeline for predicting protein interface contacts.
Geometric Gnns
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27
List of Geometric GNNs for 3D atomic systems
Haiku Geometric
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26
A collection of graph neural networks implementations in JAX
Txgnn
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23
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
Pinnacle
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18
Contextualizing protein representations using deep learning on protein networks and single-cell data
Dgn
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16
How to fuse a population of graphs into a single one using graph neural networks?
Lri
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15
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
Scatteringgcn
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14
Scattering GCN: overcoming oversmoothness in graph convolutional networks
Simplicial_neural_networks
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13
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
Egnca
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12
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
Ligand_generation
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12
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Learning Paradigms For Tsp
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10
Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
Fishergcn
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8
Fisher-Bures Adversary Graph Convolutional Networks
Hada
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5
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Reproduciblefedgnn
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5
Investigating the reproducibility of federated GNN models
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1-45 of 45 search results
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