Graph Convolutional Networks (GCN): From CNN point of view

[@ziku8910]

Best explanation of GCNs! Thank you.

[@MehdiBarzegar-x6l]

Great Explanation!!!
one of the best video I've ever seen in GCN
thank you

[@paraffin333]

Very well explained!!! Amongst all the videos I have seen till yet this is the best one

[@soroushmehraban]

Much appreciated!

[@christianondo9637]

This is easily the best video I've ever seen on GCNs

[@soroushmehraban]

Thanks 😃

[@amacodes7347]

GOAT 🐐!!!!!!!!!! Best GCN explanation and nailed it with the original paper formula decomposition, this the reason why RUclips ML is the best.

[@engr_nadeemshah]

Nice explanation.

[@angnguyenkhoa5093]

The best video on this topic hands down

[@noony31122009]

awesome

[@Ashella-322]

Very clear! Thank you for this video!!!

[@user-kw6qu2yb3h]

It was a very helpful video. Thanks.

[@punithandharani]

Easy to understand. Expecting GAT...

[@aliabedi4451]

Graph convolution: When your data needs a little networking! 📊🎉

[@ArchanaVijayan-bc5tr]

what is mean by channel here

[@alihadimoghadam8931]

👏👏

[@raajushawarma9367]

why do we have 2 diagonal matrices in the last equation?

[@soroushmehraban]

That's a good question. I think that's because one time we do row-wise normalization and other time column-wise normalization.

[@raajushawarma9367]

thanks for responding quickly, so are we normalising matrix A only or the H matrix too?@@soroushmehraban