BeClaude

torch-geometric

New
8.2kSmitheryGeneralby K-Dense-AI

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

First seen 6/7/2026

Install & Usage

1
Open your MCP config
~/.claude.json
2
Add the server config

Add the configuration to "mcpServers": { "torch-geometric": { "command": "...", "args": [] } }

3
Restart Claude Code
/mcp
View source on GitHub
ai-&-mldata-&-analytics

Security Audits

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Frequently Asked Questions

What is torch-geometric?

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

How to install torch-geometric?

To install torch-geometric: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "torch-geometric": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.

What is torch-geometric best for?

torch-geometric is a mcp categorized under General. It is designed for: ai-&-ml, data-&-analytics. Created by K-Dense-AI.