Transformers sebagai Graph Neural Networks

TL; DR : terjemahan dari pos Chaitanya Joshi " Transformers is Graph Neural Networks ": diagram, formula, ide, tautan penting. Diterbitkan dengan izin baik dari penulis.

Teman-teman Datacenter sering mengajukan pertanyaan yang sama: Grafik Neural Networks adalah ide bagus, tetapi apakah mereka memiliki kisah sukses yang nyata? Apakah mereka memiliki aplikasi praktis?

— Pinterest, Alibaba Twitter. : Transformer.

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$$h_{i}^{\ell+1} = \text{Attention} \left( Q^{\ell} h_{i}^{\ell} \ , K^{\ell} h_{j}^{\ell} \ , V^{\ell} h_{j}^{\ell} \right),$$

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$$i.e.,\ h_{i}^{\ell+1} = \sum_{j \in \mathcal{S}} w_{ij} \left( V^{\ell} h_{j}^{\ell} \right),$$

$$

$$\text{} \ w_{ij} = \text{softmax}_j \left( Q^{\ell} h_{i}^{\ell} \cdot K^{\ell} h_{j}^{\ell} \right),$$

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$$h_{i}^{\ell+1} = \text{Concat} \left( \text{head}_1, \ldots, \text{head}_K \right) O^{\ell},$$

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$$h_i^{\ell+1} = \text{LN} \left( \text{MLP} \left( \text{LN} \left( h_i^{\ell+1} \right) \right) \right)$$

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GNN $$$h$$$$i$$$$\ell$$$$h_i^{\ell}$, $$$h_j^{\ell}$$$$j \in \mathcal{N}(i)$:

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$$h_{i}^{\ell+1} = \sigma \Big( U^{\ell} h_{i}^{\ell} + \sum_{j \in \mathcal{N}(i)} \left( V^{\ell} h_{j}^{\ell} \right) \Big),$$

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Dan akhirnya, kami baru-baru ini menulis sebuah artikel di mana kami menerapkan transformer ke dataset sketsa QuickDraw . Coba lihat!

Tambahan

Pos juga telah diterjemahkan ke dalam bahasa Cina . Bergabunglah dengan diskusi di reddit dan di Twitter !

Terjemahan dari bahasa Inggris: Anton Alekseev
(laboratorium kecerdasan buatan, POMI RAS dinamai V.A. Steklov)

Untuk komentar yang berharga, penerjemah berterima kasih kepada Denis Kiryanovkirdin dan Mikhail Evtikhiev aspr_spb.