/GNN_RECSYS_paper

Graph Neural Network & Recommend System - paper review and code

Primary LanguageJupyter Notebook

GNN_RECSYS_paper

Graph Neural Network & Recommender System - paper review and code

Paper review 일정

Date Year Paper Code Task
1/3 2016 Semi-Supervised Classification with Graph Convolutional Networks GCN GNN
2014 DeepWalk: Online Learning of Social Representations Deepwalk GNN
2008 Probabilistic Matrix Factorization PMF REC
1/10 2008 Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model Netflix REC
2009 Matrix Factorization Techniques for Recommender Systems Netflix REC
2008 Collaborative Filtering for Implicit Feedback Datasets OCCF REC
2012 BPR: Bayesian Personalized Ranking from Implicit Feedback BPR REC
1/17 2013 Translating Embeddings for Modeling Multi-relational Data TransE GNN
2017 Collaborative Metric Learning CML REC
2010 Factorization Machines FM REC
1/24 Holiday
1/31 2016 Wide & Deep Learning for Recommender Systems wide&deep REC
2008 SoRec: Social Recommendation Using Probabilistic Matrix Factorization SoRec REC
2011 Recommender Systems with Social Regularization SoReg REC
2017 metapath2vec : Scalable Representation Learning for Heterogeneous Networks Metapath2Vec GNN
2/7 2018 Deep Graph Infomax DGI GNN
2017 Inductive Representation Learning on Large Graphs GraphSAGE GNN
2013 Auto-Encoding Variational Bayes VAE GNN
2016 Variational Graph Auto-Encoders VGAE GNN
2/14 2016 Deep Neural Networks for YouTube Recommendations Youtube REC
2015 AutoRec: Autoencoders Meet Collaborative Filtering Autorec REC
2016 ConvMF: Convolutional Matrix Factorization for Document Context-Aware Recommendation ConvMF REC
2022 AFGRL : Augmentation-Free Self-Supervised Learning on Graphs AFGRL GNN
2/17 개별연구 아이디어 발표