/2023-winter-internship

2023-winter-internship

drawing

Data Science and Artificial Intelligence Laboratory (DSAIL)

Tentative Schedule

Basic recommender system and Graph Neural Network

Year Paper Short Presenter slides
2016 Semi-Supervised Classification with Graph Convolutional Networks GCN 서지민 Slide
2014 DeepWalk: Online Learning of Social Representations Deepwalk 김준영 Slide
2008 Probabilistic Matrix Factorization PMF 이수찬 Slide
2009 Matrix Factorization Techniques for Recommender Systems Netflix 이종근 Slide
2008 Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model Netflix 이종근 Slide
2008 Collaborative Filtering for Implicit Feedback Datasets OCCF 윤민석 Slide
2012 BPR: Bayesian Personalized Ranking from Implicit Feedback BPR 이해준 Slide
2013 Translating Embeddings for Modeling Multi-relational Data TransE 정승안 Slide
2017 Collaborative Metric Learning CML 한재민 Slide
2010 Factorization Machines FM 최은학 Slide
2016 Wide & Deep Learning for Recommender Systems WD 구본우 Slide
2008 SoRec: Social Recommendation Using Probabilistic Matrix Factorization SoRec 서지민 Slide
2011 Recommender Systems with Social Regularization SoReg 서지민 Slide
2017 metapath2vec : Scalable Representation Learning for Heterogeneous Networks Metapath2Vec 김준영 Slide
2018 Deep Graph Infomax DGI 이종근 Slide
2017 Inductive Representation Learning on Large Graphs GraphSAGE 이수찬 Slide
2013 Auto-Encoding Variational Bayes VAE 윤민석 Slide
2016 Variational Graph Auto-Encoders VGAE 윤민석 Slide
2016 Deep Neural Networks for YouTube Recommendations Youtube 이해준 Slide
2015 AutoRec: Autoencoders Meet Collaborative Filtering Autorec 정승안 Slide
2015 Convolutional Matrix Factorization for Document Context-Aware Recommendation ConvMF 정승안 Slide
2023 Augmentation-Free Self-Supervised Learning on Graphs AFGRL 한재민 Slide

Participate to projects

  • On-going projects
    • Universal User Representation 학습
    • 화학 물질간의 상호작용을 통한 물성 예측
    • 시각 메모리 기억을 위한 시각 지식 그래프 생성
    • Single-cell RNA sequencing
    • MATH AI (Multi-modal Reasoning)
  • 담당 대학원생과 함께 진행

Team Introduction (Lab Interns)

서지민

김준영

이수찬

이종근

윤민석

이해준

정승안

한재민

최은학

구본우