Search

Stanford CS224W: Machine Learning for Graphs

Type
Resource
Language
🇰🇷
Latest checked date
2022/08/20
Status
Done
1 more property

Introduction

Stanford CS224W (2021 ver.) 강좌를 함께 스터디하는 분들과 정리한 자료입니다.

Stanford CS224W: Machine Learning for Graphs

Search
Name
Title
Person
비고
Traditional Methods for ML on Graphs
Link Analysis: PageRank, RWR, MF
Label Propagation for Node Classification
Graph Neural Networks 1: GNN Model
Graph Neural Networks 2: Design Space
Applications of Graph Neural Networks
Theory of Graph Neural Networks
Heterogeneous Graphs and Knowledge Graph Embeddings
Reasoning over Knowledge Graphs
Frequent Subgraph Mining with GNNs
GNNs for Recommender Systems
youtube 2021 버전 올라오면 내용 추가/수정
Community Structure in Networks
youtube 2021 버전 올라오면 내용 추가/수정
Deep Generative Models for Graphs
Advanced Topics on GNNs
Design space of GNNs
Load more