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TGN: Temporal Graph Networks
Hi twitter research team of TGN, Great work on your paper! I'm particularly interested in the model. And I am trying to reproduce your results to compare between TGN and...
Dear authors, thank you for open-sourcing your code :) I am planning to test your approach on temporal graphs that differ wildly in terms graph size, i.e., number of nodes...
Hi, After examing the code implementation, I observed that the test set for **transductive** link prediction includes **_both_** observed nodes and unseen nodes. But I guess unseen nodes should be...
The result for `TGN` is identical to `DyRep` on `wikipedia` and `reddit`. Could this be a bug?
Conceptually, is the `--use_memory` tag necessary for TGN?
When running the code with a non-bipartite graph I have encountered this error for line 81 of the `data_preprocessing.py` file. This can be solved by replacing the line with `new_test_node_set...
Could you give some guidance on how to generate their embedding for each node? I want to evaluate the quality of embedding of this algorithm with diferent dimensions.