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An autoML framework & toolkit for machine learning on graphs.
Created
2020-11-30
743 commits to main branch, last one 10 months ago
Protein Graph Library
Created
2019-08-28
807 commits to master branch, last one about a month ago
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Created
2023-01-21
26 commits to main branch, last one about a year ago
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Created
2020-04-01
82 commits to master branch, last one 2 years ago
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Created
2022-04-19
21 commits to main branch, last one about a year ago
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Created
2023-03-01
14 commits to main branch, last one about a year ago
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Created
2022-11-04
29 commits to main branch, last one 9 months ago
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Created
2018-12-07
135 commits to master branch, last one about a year ago
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
Created
2021-11-03
10 commits to master branch, last one 2 years ago
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
Created
2022-04-15
2,643 commits to release branch, last one 4 months ago
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
Created
2022-06-05
225 commits to GOODv1 branch, last one about a month ago
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Created
2023-05-24
54 commits to main branch, last one 2 months ago
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Created
2021-02-02
78 commits to master branch, last one 2 years ago
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Created
2021-05-17
900 commits to master branch, last one 2 years ago
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Created
2021-10-28
629 commits to main branch, last one 6 months ago
Topological Graph Neural Networks (ICLR 2022)
Created
2021-01-11
286 commits to main branch, last one 2 years ago
B站GNN教程资料
Created
2024-01-14
42 commits to main branch, last one 3 months ago
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
Created
2020-04-28
19 commits to master branch, last one about a year ago
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Created
2021-11-15
310 commits to master branch, last one 2 months ago
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Created
2023-01-24
15 commits to main branch, last one about a year ago
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
Created
2021-10-09
18 commits to main branch, last one 2 years ago
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
Created
2022-09-29
175 commits to main branch, last one 2 years ago
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)
Created
2022-07-07
13 commits to main branch, last one about a year ago
GraphCON (ICML 2022)
Created
2021-08-13
114 commits to main branch, last one 2 years ago
A PyTorch Geometric implementation of SimGNN with some extensions.
Created
2019-08-15
23 commits to master branch, last one 3 years ago
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Created
2021-02-03
41 commits to main branch, last one 9 months ago
Geometric deep learning of protein–DNA binding specificity
Created
2023-04-20
110 commits to main branch, last one 2 months ago
Graph learning framework for long-term video understanding
Created
2023-03-24
18 commits to main branch, last one 18 days ago
[EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Created
2024-01-18
4 commits to master branch, last one 5 months ago
Gradient gating (ICLR 2023)
Created
2022-10-03
16 commits to main branch, last one about a year ago