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Paper Review about GNN and RECOMMENDER SYS.

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Name		Name	Last commit message	Last commit date
Latest commit History 121 Commits
BPR		BPR
CML		CML
DGI		DGI
DeepWalk		DeepWalk
FM		FM
GAT		GAT
GCN		GCN
GraphSAGE		GraphSAGE
LINE		LINE
NCF		NCF
Netflix		Netflix
Node2vec		Node2vec
OCCF		OCCF
PMF		PMF
TransE		TransE
VAE		VAE
VGAE		VGAE
Wide_Deep		Wide_Deep
metapath2vec		metapath2vec
README.md		README.md

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GNN and Recommender_System

KAIST DSAIL Summer Intern Program ( 2022.06 - 2022.08 )

Random Walk

DeepWalk, Node2vec, LINE, metapath2vec

Graph Neural Network

Supervised : GCN, GAT
Unsupervised : DGI, VGAE, VAE, GraphSAGE, AFGRL

Knowledge Graph Embedding

TransE

Explicit Feedback

Netflix, PMF

Implicit Feedback

Matrix Factorization : OCCF, BPR
Metric Learning : CML
Neural Network : NCF

Side Information

SoRec, SoReg

Deep Learning based Recommender System

CDL, ConvMF, Autorec, YouTube, Wide & Deep, FM