[DMQA Open Seminar] Graph Attention Networks

[Open DMQA Seminar] Graph Neural Networks: Introduction to Spectral Graph Convolution

An Introduction to Graph Neural Networks: Models and Applications

[Paper Review] Knowledge Graph Construction

[DMQA Open Seminar] Transformer

Понимание графовых сетей внимания

[DMQA Open Seminar] Graph-Based Semi-supervised Learning

零基础多图详解图神经网络（GNN/GCN）

[Paper Review] Knowledge graph representation for recommendation

Graph Representation Learning (Stanford university)

[핵심 머신러닝] Transformer

Temporal Graph Networks (TGN) | GNN Paper Explained

[Paper Review] Do Transformers Really Perform Bad for Graph Representation? (Graphormer)

[20190507] Graph Convolutional Network 소개 (발표자: 김동현)

RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification

Graph Neural Networks - a perspective from the ground up

[딥러닝 기계 번역] Transformer: Attention Is All You Need (꼼꼼한 딥러닝 논문 리뷰와 코드 실습)

TGN: Temporal Graph Networks for Dynamic Graphs

[DMQA Open Seminar] Self-Supervised Learning

Понимание графовых нейронных сетей | Часть 1/3 — Введение

Intro to graph neural networks (ML Tech Talks)