124 citations · 504 across the 13 of their papers we have counts for
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cs.LG2021★ 11 cited
Thinking Like Transformers
Gail Weiss, Yoav Goldberg, Eran Yahav
What is the computational model behind a Transformer? Where recurrent neural networks have direct parallels in finite state machines, allowing clear discussion and thought around a…
cs.LG2021★ 42 cited
How Attentive are Graph Attention Networks?
Shaked Brody, Uri Alon, Eran Yahav
Graph Attention Networks (GATs) are one of the most popular GNN architectures and are considered as the state-of-the-art architecture for representation learning with graphs. In GA…