Видео с ютуба Deep Graph Learning Foundations

KDD 2020: Lecture Style Tutorials: Deep Graph Learning Foundations, Advances and Applications

AWS ML Summit 2021 | Deep Graph Library: Deep Graph learning at scale

[Deep Graph Learning] 2.1 The logic behind graph-based learning

KDD 2020: Hands-on Tutorials: Scalable Graph Neural Networks with Deep Graph Library

Graph Attention Networks (GAT) in 5 minutes

Graph Neural Networks - a perspective from the ground up

[Deep Graph Learning] 1.3 Graph learning tasks (node, edge and graph based)

"Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification" by Abram Magner

Объяснение ИИ — графовые нейронные сети | Как ИИ использует графы для ускорения инноваций

[Deep Graph Learning] 2.2 The evolving landscape of feature embedding

KDD2020 Tutorial: Scalable Graph Neural Networks with Deep Graph Library (part 1)

An Introduction to Graph Neural Networks

[Deep Graph Learning] 4.2 Batching and GNN sampling methods

[Deep Graph Learning] 3.2 GNN inductive capability & graph-based learning

Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations

[Deep Graph Learning] 1.1 Graph types

[Deep Graph Learning] 6.6 Generative Graph U-Net

Prerequisites for the Deep Learning Specialization Math and Programming Background Explained