Hi team, I am interested in performing minibatch sampling where all edges sampled must meet a criteria (timestamp of each edge < timestamp of the center node in the batch). Does DGL offer any functionality to do this? Thanks!
I have seem this old example linked here: dgl/examples/pytorch/tgn at master · dmlc/dgl · GitHub
however it is out of date.
Yes, this is being added to DGL (see [Temporal] Add time window support by peizhou001 · Pull Request #7467 · dmlc/dgl · GitHub ) and will be released soon. Stay tuned!
P.S. TGN requires a different type of graph data structure. The temporal sampler you described is more for T-GAT.
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