Firstly, may I please shout out to the contributors to this community, you guys are amazing !
found out about graphs network not so long ago, it truly has a much steeper learning curve than ordinary neural network → CNN/RNN … after reading through the documentations and tutorial still feel like I know nothing lol …
would any experienced member kindly share/point out some advices as to how/what to look at to learn this field faster .
would appreciate something like paper with code . recommend any good project on Github or anywhere that uses DGL , and want to look at some pros to use advanced message passing to learn from .
Thank you very much for your time in reading my question
