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[ASK] Using datasets with a large number of users such as Gowalla in LightGCN model, RAM gets a lot involved

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#1,697 opened on Apr 7, 2022

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Description

I'm using google colab for training the model. I used gowalla dataset and after a few seconds after calling model = LightGCN(hparams, data, seed=SEED) System RAM gets full and my session terminates. I think this happens when creating adjacency matrix what should I do to fix this?

Contributor guide

Research direction
Investigate memory efficient adjacency matrix representations such as sparse matrices (e.g., scipy.sparse) or batch processing. Consider using memory mapping or incremental graph construction.
Tech stack
python
Domain
machine learning
Issue type
Performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
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Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30