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
