Xavier Bresson: New paper on benchmarking graph neural networks w/ @vijaypradwi @chaitjo T. Laurent and Y. Bengio
Our goal was to identify trends and good building blocks for GNNs. https://t.co/PiFUYm5Z3R
7 replies, 480 likes
Yann LeCun: Graph neural net benchmarks with repo.
0 replies, 165 likes
Chaitanya Joshi: **Benchmarking Graph Neural Networks**!
Fortunate to have been part of this effort, with @vijaypradwi, @xbresson, Thomas Laurent (LMU), & Yoshua Bengio (@MILAMontreal).
#GraphNeuralNetworks #DeepLearning https://t.co/5JdGjzTIU5
4 replies, 152 likes
Thomas Kipf: Exciting new work on benchmarks for graph neural nets
0 replies, 104 likes
DeepGraphLibrary: Awesome new benchmarks for GNNs by NTU Graph Deep Learning Lab!! Datasets from computer vision, bioinformatics to combinatorial optimization. A great test field for new models. Powered by DGL!
0 replies, 66 likes
Chaitanya Joshi: @huggingface @slashML Also, for those new to Graph Deep Learning/GNNs, you'll find our new paper useful for building intuitions.
1 replies, 14 likes
Vijay Dwivedi: Paper on 'Benchmarking Graph Neural Networks' with @chaitjo, @xbresson, Thomas Laurent, and Yoshua Bengio released now.
1 replies, 9 likes
elvis: This is so cool! If you are into GNNs, here is the provided framework for benchmarking GNNs -- it's aimed at reproducibility.
0 replies, 5 likes
Found on Mar 03 2020 at https://arxiv.org/pdf/2003.00982.pdf