Introduction
2022๋
8์์ ์ธ์ข
๋ํ๊ต์์ ์งํ๋ AI KOREA ํ์ฌ์ ๊ฐ์ ์ค ํ๋์ธ Graph Learning ๊ฐ์์ ๊ฐ์์๋ฃ ์ค ์ ๊ฐ ๋ง๋ ๋ถ๋ถ์ ๋ฐ์ทํ์์ต๋๋ค.
๊ฐ์์๋ฃ
1.
Graphormer: Do Transformers Really Perform Badly for Graph Representation?
2.
GRPE: Relative Positional Encoding for Graph Transformer
3.
PAR: Property-Aware Relation Networks for Few-Shot Molecular Property Prediction