80 citations · 167 across the 17 of their papers we have counts for
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cs.LG2022★ 5 cited
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements
Leandro von Werra, Lewis Tunstall, Abhishek Thakur +16
Evaluation is a key part of machine learning (ML), yet there is a lack of support and tooling to enable its informed and systematic practice. We introduce Evaluate and Evaluation o…
cs.LG2020★ 7 cited
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra, Aleksandra Piktus, Gerard Goossen +1
Graph Neural Networks (GNNs) have received a lot of interest in the recent times. From the early spectral architectures that could only operate on undirected graphs per a transduct…