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My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
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pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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TokenCut discussion
TokenCut reviews and mentions
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[R][P] Self-supervised Transformers for Unsupervised Object Discovery using Normalized Cut + Hugging Face Spaces Gradio Demo
github: https://github.com/YangtaoWANG95/TokenCut
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YangtaoWANG95/TokenCut is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of TokenCut is Jupyter Notebook.
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