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CS224W 정리

Stanford CS224W: Machine Learning with Graphs

This course covers important research on the structure and analysis of such large social and information networks and on models and algorithms that abstract ...

https://youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn

Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs.

http://web.stanford.edu/class/cs224w/

224W의 2021 버전 (2023.01에 Youtube에 제공될 예정)

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http://snap.stanford.edu/class/cs224w-2020/

224W의 2020 버전

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CS224W Lectures

Name

Title

Person

비고

[CS224W] Lecture 1

Machine Learning for Graphs

[CS224W] Lecture 2

Traditional Methods for ML on Graphs

[CS224W] Lecture 3

Node Embddings

[CS224W] Lecture 4

Link Analysis: PageRank, RWR, MF

[CS224W] Lecture 5

Label Propagation for Node Classification

[CS224W] Lecture 6

Graph Neural Networks 1: GNN Model

[CS224W] Lecture 7

Graph Neural Networks 2: Design Space

[CS224W] Lecture 8

Applications of Graph Neural Networks

[CS224W] Lecture 9

Theory of Graph Neural Networks

[CS224W] Lecture 10

Heterogeneous Graphs and Knowledge Graph Embeddings

[CS224W] Lecture 11

Reasoning over Knowledge Graphs

[CS224W] Lecture 12

Frequent Subgraph Mining with GNNs

[CS224W] Lecture 13

GNNs for Recommender Systems

youtube 2021 버전 올라오면 내용 추가/수정

[CS224W] Lecture 14

Community Structure in Networks

youtube 2021 버전 올라오면 내용 추가/수정

[CS224W] Lecture 15

Deep Generative Models for Graphs

[CS224W] Lecture 16

Advanced Topics on GNNs

[CS224W] Lecture 17

Scaling Up GNNs

[CS224W] Lecture 18

Guest Lecture

[CS224W] Lecture 19

Design space of GNNs

[CS224W] Colab 0

[CS224W] Colab 1

[CS224W] Colab2

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