Open jaromiru opened 4 years ago
Thanks for this issue. I agree and fixed the typo. An introduction with directed edges seems like a good idea. I will try to work on that.
I have a similar question which I believe might also benefit if detailed in the documentation. If I want node 0
to aggregate messages from nodes 1
, 2
and 3
and flow='source_to_target'
, is the correct edge_index
tensor:
[[0,0,0],
[1,2,3]]
or
[[1,2,3],
[0,0,0]]
?
I believe this is a nice bit of information to explicitly detail somewhere in the documentation, as I've found many issues detailing similar confusion (#126 #219 #806).
By the answers I found https://github.com/rusty1s/pytorch_geometric/issues/126#issue-420188693 https://github.com/rusty1s/pytorch_geometric/issues/126#issuecomment-486717794, it looks like the correct is option 1. Thank you in advance.
[[1,2,3],
[0,0,0]]
Messages are sent from source (1, 2, 3) to target (0, 0, 0).
Oh boy.
The documentation about edge orientation is inconsistent. In the Creating Message Passing Networks tutorial, the main expression says that e𝑖,𝑗 denotes (optional) edge features from node 𝑖 to node 𝑗., the attached expression also suggests it. However, in documentation to MessagePassing.message(), the documentation says Constructs messages from node 𝑗 to node 𝑖 (this is actually true).
I mean, when an user implement message(), it is unclear what is the orientation:
This is misleading and unclear. I had to create a small test program to actually see what is the direction of information flow. It should be made more consistent and clear. I would also suggest to add a example with directed edges in Introduction section (currently, there is an example with undirected edges).