Shahin Ghasemi

It's also good to first append all typescripts together then write it to file once, since it's I/O it's better to be used minimum. ``` for each item do const...

@rusty1s What's the difference between `SAGEConv` and `GraphSAGE`? based on the provided [example](https://github.com/pyg-team/pytorch_geometric/blob/master/examples/hetero/hetero_link_pred.py) I expected that the output of `GraphSAGE` would be the same as `SAGEConv` which is a dictionary...

Sorry but I'm confused a little bit. Are these two model the same?(`num_layers` is confusing) ``` # first GraphSAGE(in_channels=(-1, -1), hidden_channels=32, num_layers=2, out_channels=32) # second SAGEConv((-1, -1), 32) SAGEConv((-1, -1),...

Still having the same problem in our Test suites, any workable solution?

>Here, edge_index is solely used for message passing, i.e., for training, we exchange messages on all training edges for validation, we exchange messages on all training edges for testing, we...

@rusty1s According to this [video](https://www.youtube.com/watch?v=Rfkntma6ZUI) for link prediction task we have 4 types of edges: `training supervision edges`, `training message edges`, `validation edges` and `testing edges`. I'm a little bit...

Thank you @rusty1s I guess I get the idea. My last question: is this correct? the `test edges` should not be included in both `message edges` and `supervision edges` in...