808 citations · 1.4k across the 52 of their papers we have counts for
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cs.LG2019★ 181 cited
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi, Mathias Niepert, Massimiliano Pontil +1
Graph neural networks (GNNs) are a popular class of machine learning models whose major advantage is their ability to incorporate a sparse and discrete dependency structure between…
cs.LG2019★ 10 cited
State-Regularized Recurrent Neural Networks
Cheng Wang, Mathias Niepert
Recurrent neural networks are a widely used class of neural architectures. They have, however, two shortcomings. First, it is difficult to understand what exactly they learn. Secon…