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This repository is the implementation of Graph Transformer Networks (GTN) and Fast Graph Transformer Networks with Non-local Operations (FastGTN). Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim, Graph Transformer Networks, In Advances in Neural Information Processing Systems (NeurIPS 2019).

Find the GTN style guide with brand assets such as logos, colors, fonts, and more.

Find the GTN Technologies style guide with brand assets such as logos, colors, fonts, and more.

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The GTN provides learners with a free, open repository of online training materials, with a focus on hands-on training that aims to be directly applicable for learners. We aim to connect researchers and learners with local trainers, and events worldwide.

This repository is the implementation of Graph Transformer Networks (GTN) and Fast Graph Transformer Networks with Non-local Operations (FastGTN). Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim, Graph Transformer Networks, In Advances in Neural Information Processing Systems (NeurIPS 2019).

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