Graph Neural Net, Recommender System 학습 기록

그래프 딥러닝, 추천 시스템 공부한 내용 정리, 간단한 실습

Lecture

CS224W: Machine Learning with Graphs

Stanford / Winter 2021

• Course Info

  CS224W | Home

• Lectures

  CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 - Why Graphs

Books

Graph Neural Network

Graph Representation Learning Textbook(CS224W 교재)

Yao Ma, Jiliang Tang - Deep Learning on Graphs-Cambridge University Press (2021)

Recommender System

Charu C. Aggarwal (auth.) - Recommender Systems_ The Textbook-Springer International Publishing (2016)

Matrix and Tensor Factorization Techniques for Recommender Systems by Panagiotis Symeonidis, Andreas Zioupos (auth.)

Network Theory

Albert-Laszlo Barabasi - Network Science-Cambridge University Press (2016)

Graph Recommender System Papers

• Matrix_Factorization_Techniques_for_Recommender_Systems

• BPR: Bayesian Personalized Ranking from Implicit Feedback

• Neural Collaborative Filtering (NCF)

• Neural Graph Collaborative Filtering (NGCF)

• LightGCN

• UltraGCN

GRL 기초 논문