58 citations · 116 across the 17 of their papers we have counts for
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cs.SI2018
A Tutorial on Network Embeddings
Haochen Chen, Bryan Perozzi, Rami Al-Rfou +1
Network embedding methods aim at learning low-dimensional latent representation of nodes in a network. These representations can be used as features for a wide range of tasks on gr…
cs.CL2018
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant +2
LSTMs and other RNN variants have shown strong performance on character-level language modeling. These models are typically trained using truncated backpropagation through time, an…