torch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
npx skills add LeonChaoX/qinyan-academic-skills --skill torch-geometric --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PyTorch Geometric (PyG) ## Overview PyTorch Geometric is a library built on PyTorch for developing and training Graph Neural Networks (GNNs). Apply this skill for deep learning on graphs and irregular structures, including mini-batch processing, multi-GPU training, and geometric deep learning applications. ## When to Use This Skill This skill should be used when working with: - **Graph-based machine learning**: Node classification, graph classification, link prediction - **Molecular property prediction**: Drug discovery, chemical property prediction - **Social network analysis**: Community detection, influence prediction - **Citation networks**: Paper classification, recommendation systems - **3D geometric data**: Point clouds, meshes, molecular structures - **Heterogeneous graphs**: Multi-type nodes and edges (e.g., knowledge graphs) - **Large-scale graph learning**: Neighbor sampling, distributed training ## Quick Start ### Installation ```bash uv pip install torch_geometric ``` For additional dependencies (sparse operations, clustering): ```bash uv pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.
- Overview
- When to Use This Skill
- Quick Start
- Installation
- Basic Graph Creation
- Loading a Benchmark Dataset
- Core Concepts
- Data Structure
- Edge Index Format
- Mini-Batch Processing
- Building Graph Neural Networks
- Message Passing Paradigm
- Using Pre-Built Layers
- Custom Message Passing Layers
uv pip install torch_geometric
uv pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.htmlWhat does the torch-geometric skill do?
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill torch-geometric --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.