2023-summer-internship

Data Science and Artificial Intelligence Laboratory (DSAIL)

• Official Laboratory Homepage (Website)
• Introduction to the laboratory (YouTube)
• What we are interested in (Research PDF) s

Tentative Schedule

Basic recommender system and Graph Neural Network

Year	Paper	Short	Presenter	slides
2016	Semi-Supervised Classification with Graph Convolutional Networks	GCN	김지완	Slide
2014	DeepWalk: Online Learning of Social Representations	Deepwalk		Slide
2008	Probabilistic Matrix Factorization	PMF	김현철	Slide
2009	Matrix Factorization Techniques for Recommender Systems	Netflix	박상우	Slide
2008	Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model	Netflix	박상우	Slide
2008	Collaborative Filtering for Implicit Feedback Datasets	OCCF	유혜원	Slide
2012	BPR: Bayesian Personalized Ranking from Implicit Feedback	BPR	박상민	Slide
2013	Translating Embeddings for Modeling Multi-relational Data	TransE	최서웅	Slide
2017	Collaborative Metric Learning	CML	박진혁	Slide
2010	Factorization Machines	FM	김건우	Slide
2016	Wide & Deep Learning for Recommender Systems	WD	한석원	Slide
2008	SoRec: Social Recommendation Using Probabilistic Matrix Factorization	SoRec	김지완	Slide
2011	Recommender Systems with Social Regularization	SoReg	김지완	Slide
2017	metapath2vec : Scalable Representation Learning for Heterogeneous Networks	Metapath2Vec	김현철	Slide
2018	Deep Graph Infomax	DGI	박상우	Slide
2017	Inductive Representation Learning on Large Graphs	GraphSAGE	유혜원	Slide
2013	Auto-Encoding Variational Bayes	VAE	박진혁	Slide
2016	Variational Graph Auto-Encoders	VGAE	박진혁	Slide
2016	Deep Neural Networks for YouTube Recommendations	Youtube	최서웅	Slide
2015	AutoRec: Autoencoders Meet Collaborative Filtering	Autorec	박상민	Slide
2015	Convolutional Matrix Factorization for Document Context-Aware Recommendation	ConvMF	박상민	Slide
2017	Augmentation-Free Self-Supervised Learning on Graphs	AFGRL	김건우	Slide