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[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

License: MIT License

Python 100.00%
graph-neural-networks deep-graph-library deep-graph-networks ogb skip-connections normalization dropout benchmark training-tricks

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deep_gcn_benchmarking's Issues

use of different dataset

I have been trying to use the code on the HSI (Hyper Spectral Image) dataset but this error has occurred, do you happen to know the solution? ( also with other datasets lie Citeseer)
1

tricks.tricks_comb_sgc

Hi,

Seems that tricks.tricks_comb_sgc is missing. could you please help with this? Thank you so much!

the use of self.cached in models/GCN.py

Could you please explain the use of self.cached in models/GCN.py? If the setting is transductive and the self.cached is set to 'False' manually, will that influence the performance (e.g. ACC) of the algorithm?

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