手头上有一些bench的工作在犹豫投哪里。难度差不多，NeurIPS 主页上有专门说明这个 track 和主会同一...
一半reject原因类似于鸡蛋里挑骨头，加实验就能解决而没有否定文章的核心贡献，还有个别盲人审稿。老实说我...
This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch. - VITA-Group/Large_Scale_GCN_Benchmarking
Experimental results on a number of benchmark tasks showed that LN outperforms both BN and WN significantly, especially in RNN models. Assuming that these results hold more broadly, LN may work as a good default replacement for BN. Learning Interpretable and Disentangled Representations using ...
This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch. - strategist922/large_scale_gcn_benchmarking
8.25 有投Datasets and Benchmarks Track的大佬收到reviewer回复了吗？－－－ 8.29 这篇工作真的投...
report，十多年后如果你再看这些论文，就像是现在你听到这个例子这样好笑"有dataset/benchmark track，...
手头上有一些bench的工作在犹豫投哪里。难度差不多，NeurIPS 主页上有专门说明这个 track 和主会同一...
8.24 投稿datasetand benchmark track, 提交 official comment 三天了 reviewer 还没回复，怎么办......
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