# gusye1234/LightGCN-PyTorch

The PyTorch implementation of LightGCN

Repository: https://github.com/gusye1234/LightGCN-PyTorch
Canonical: https://ross.abutalabs.com/products/lightgcn-pytorch
Language: Python
License Family: other
Archived: true
Last push: 2023-08-06T12:29:05+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2374, "days_push": 1123, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1072, forks 294 (observed 2026-08-28T04:03:28.690986+00:00)

## What it is
A PyTorch implementation of LightGCN, a simplified graph convolution network for collaborative filtering recommendation from the SIGIR 2020 paper. It includes processed datasets (Gowalla, Yelp2018, Amazon-book, LastFM) and training/evaluation scripts.

## Use cases
- reproduce LightGCN recommendation results
- train a graph convolution recommender on my own dataset
- compare collaborative filtering models like BPR and LightGCN
- learn how GCN-based recommendation works
- benchmark recall and ndcg on Gowalla Yelp2018 Amazon-book

## When to choose
- you need a faithful PyTorch reimplementation of the LightGCN paper
- you want a simple GCN baseline for collaborative filtering research
- you want ready-processed recommendation benchmark datasets

## When to avoid
- you need a production recommender system with serving infrastructure
- you need a maintained library with a license and long-term support
- you want a general-purpose GNN framework rather than a specific model

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning
- platform: python
- tags: lightgcn, graph-convolutional-network, collaborative-filtering, recommender-system, pytorch, research-code, recommendation

## Member repositories
- gusye1234/LightGCN-PyTorch (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:28.690986+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:41.592708+00:00, confidence not recorded.
  - readme: https://github.com/gusye1234/LightGCN-PyTorch (fetched 2026-08-28T04:03:28.690986+00:00, sha 38005af70127)
- Data as of 2026-08-30T08:39:29.467469+00:00.