tech-srl
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how_attentive_are_gats
how_attentive_are_gats PublicCode for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
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bottleneck
bottleneck PublicCode for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
Repositories
- layer_norm_expressivity_role Public
Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
- slm-code-generation Public
TensorFlow code for the neural network presented in the paper: "Structural Language Models of Code" (ICML'2020)
- bottleneck Public
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
- how_attentive_are_gats Public
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
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