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20 search results found

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Graphein ⭐ 932

Protein Graph Library

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Deepviewagg ⭐ 195

[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"

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Pytorch_geometric_signed_directed ⭐ 96

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

Graph Neural Network Course ⭐ 89

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric

Graphood Gnnsafe ⭐ 42

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Spatiotemporal_datasets ⭐ 39

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

Locally Private Graph Neural Networks (ACM CCS 2021)

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

Extended Simgnn ⭐ 11

A PyTorch Geometric implementation of SimGNN with some extensions.

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.

Log 2023 Gnns Recsys ⭐ 9

Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)

The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)

Yogaposegnn ⭐ 7

When real time Yoga Position classification meets GNN

Implementation of "Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast".

Pocket Cfdm ⭐ 6

Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets

Interpretable Gland-Graph Networks

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