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Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Network #60

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Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Net…
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3 changes: 3 additions & 0 deletions docs/_sidebar.md
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- 8.embeding technique
- [ELMo: Deep contextualized word representations,2018](papers/elmo-deep-contextualized-word-representations-2017.md)
- [Skip-Thought Vectors,2015](papers/skip-thought-vectors-2015.md)

- 9. Knowledge Graph
- [Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Networks,2018](papers/graph2seq-graph-to-sequence-learning-with-attention-based-neural-networks-2018.md)
12 changes: 12 additions & 0 deletions ...aph2seq-graph-to-sequence-learning-with-attention-based-neural-networks-2018.md
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# Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Networks

| | |
| :--- | :--- |
| title | Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Networks |
| author | Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Michael Witbrock, Vadim Sheinin |
| year | 2018 |
| paper | https://arxiv.org/pdf/1804.00823.pdf |
| github | None |
| paperweekly | https://www.paperweekly.site/papers/2358 |
| page | 17 |
| member | [@qhduan](https://github.com/qhduan) |