Related Issues (20)
- Sharing the checkpoints of the model HOT 1
- Why updating memory during testing phase ? HOT 2
- memory in-efficent? HOT 2
- AssertionError on python train_self_supervised.py --use_memory --prefix tgn-attn --n_runs 10 HOT 8
- Time is not considered when predicting new interactions HOT 3
- Why is the node_feature matrix + 1 larger than the largest index of nodes? HOT 7
- Potential problem with embeddings computing? HOT 2
- Time comparison for the key operations of TGN on IPU and GPU with different batch sizes HOT 1
- How to make predictions with TGN? HOT 3
- sorry
- Problem about update_memory HOT 1
- [Code Missing] Missing Benchmarking code published on your TGN paper
- paddlepaddle library
- Multi-GPU Training
- Updating memory fails for datasets that are not bipartite HOT 1
- [Question] why memory_updater can't be updated by backpropagation without set --memory_update_at_end flag?
- Run script failed due to assertion
- Sensitivity to different graph sizes
- use of `--use_memory`
- TGN identical to DyRep
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