# benchmark_model

> This script provides a simple way to benchmark different GNN architectures on common datasets and compare their performance.

- Source: https://doutorai.pt/en/components/skills__benchmark-model
- Type: Skills
- Category: Scientific
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/benchmark-model && curl -fsSL https://doutorai.pt/data/lib/skills__benchmark-model.md -o .claude/skills/benchmark-model/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
#!/usr/bin/env python3
"""
Benchmark GNN models on standard datasets.

This script provides a simple way to benchmark different GNN architectures
on common datasets and compare their performance.

Usage:
    python benchmark_model.py --models gcn gat --dataset Cora
    python benchmark_model.py --models gcn --dataset Cora --epochs 200 --runs 10
"""

import argparse
import torch
import torch.nn.functional as F
from torch_geometric.nn import GCNConv, GATConv, SAGEConv, GINConv
from torch_geometric.datasets import Planetoid, TUDataset
from torch_geometric.loader import DataLoader
from torch_geome

- 🔒 Full content on the Pro plan (€7.99/month) -
```

## Related components

- [PocketBase API Rules](https://doutorai.pt/en/components/skills__pocketbase-api-rules): API rules and filter expressions for PocketBase access control. Use when setting permissions, writing filter expressions, configuring who ca
- [PocketBase Collections](https://doutorai.pt/en/components/skills__pocketbase-collections): Collection and schema design for PocketBase. Use when creating collections, designing schemas, adding fields, setting up relations, or choos
- [PocketBase Deploy](https://doutorai.pt/en/components/skills__pocketbase-deploy): Production deployment for PocketBase. Use when deploying PocketBase to a server, setting up Docker, configuring systemd, reverse proxy (ngin
- [PocketBase Hooks](https://doutorai.pt/en/components/skills__pocketbase-hooks): Server-side JavaScript hooks for PocketBase (pb_hooks). Use when writing custom routes, event hooks, cron jobs, sending emails, making HTTP 
- [PocketBase Migrations](https://doutorai.pt/en/components/skills__pocketbase-migrations): Schema migrations and versioning for PocketBase. Use when creating migrations, managing schema versions, syncing collections between environ
- [PocketBase SDK](https://doutorai.pt/en/components/skills__pocketbase-sdk): JavaScript SDK usage for PocketBase client applications. Use when calling PocketBase from frontend or Node.js, authenticating users, subscri

## Save hours every week with AI, no hassle

**Doutor AI** gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further. [See plans →](https://doutorai.pt/en/pricing)

---
Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__benchmark-model