Batch graphs as disconnected components
TGN-1 Order: #1 Model Training
Updated 4 months ago
Guidance
Represent each graph as a sparse adjacency list to minimize memory. Combine a minibatch into one large graph with disconnected components by making node IDs unique per batch. Prepare minibatches on a separate CPU thread to avoid GPU stalls during training.
Details
- Order:
- #1
- Phase:
- Created:
- May 20, 2026
- Last Updated:
- May 20, 2026
Workflow
Train GGNN
Configure task-specific graph modifications, batch graphs as disconnected components, run 8-step GGNN propagation, and train with maximum likelihood.
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