3つの要点 ✔️ GNNの表現力の強さから、急速にアプリケーションが進んでいる。 ✔️ GNNの柔軟かつ複雑な構造への、従来深層学習手法の展開についてのレビュー ✔️ 一方で、深層学習に共通、グラフに固有の課題も継続中 Graph Neural Networks: A Review of Methods and Applications written by Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun (Submitted on 20 Dec 2018 (v1), last revised 9 Apr 2021 (this version, v5)) Comments: Published on AI O
![グラフってこんなにすごい!深層学習との融合をレビュー](https://cdn-ak-scissors.b.st-hatena.com/image/square/eebb4255cc6e1f2cfe7e55545886144b9d1fd079/height=288;version=1;width=512/https%3A%2F%2Faisholar.s3.ap-northeast-1.amazonaws.com%2Fmedia%2FJuly2021%2F%25E6%25B7%25B1%25E5%25B1%25A4%25E5%25AD%25A6%25E7%25BF%2592%25E3%2581%25A8gnn%25E3%2582%2592%25E8%259E%258D%25E5%2590%25881-min.png)