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KBM_KBM t1_ja70ytj wrote

Hopefully it is easier to use than pytorch geometric

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mlmaster17 t1_ja777wt wrote

I actually find it (DGL) very easy to use. I switched from PyG just over a year ago because DGL was easier to install across MacOS, Linux, and Windows. Some of the recent PyG updates are interesting but not enough for me to move back. Anyway, I find both libraries to be very similar so I think either choice is good.

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Impressive-Smile5659 t1_ja8anh7 wrote

I have been struggling to get the accuracy with DGL above 60. So i stick with PyG.

Will test out a few GNNs on some random dataset to see if it works better now.

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YodaML t1_ja9ykvh wrote

Interesting as I have not had much trouble reproducing the results from papers I use as baselines. I find that sometimes, weight initialisation can make a difference so read the paper carefully on how they initialised the convolutional layer weights and check that DGL is using the same method. If not, do a custom initialisation based on the paper.

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