There are 8 repositories under pytorch-geometric topic.
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
[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"
gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
B站GNN教程资料
Topological Graph Neural Networks (ICLR 2022)
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
[EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
A PyTorch Geometric implementation of SimGNN with some extensions.
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
Gradient gating (ICLR 2023)
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
Various Applications and Descriptions of GNN with Pytorch, Pytorch Geometric.