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Base
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GNN
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KGE
Model Conference Date Paper TransE NeurIPS 2013 《Translating Embeddings for Modeling Multi-relational Data》 TransH AAAI 2014 《Knowledge Graph Embedding by Translating on Hyperplanes》 TransR AAAI 2015 《Learning Entity and Relation Embeddings for Knowledge Graph Completion》 TransD ACL 2015 《Knowledge Graph Embedding via Dynamic Mapping Matrix》 STransE NAACL-HLT 2016 《STransE: a novel embedding model of entities and relationships in knowledge bases》 -
Embedding
Model Conference Date Paper Word2Vec -
SSL
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CV
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NLP
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Context-aware Recommendation
Model Conference Date Paper LR WWW 2007 《Predicting Clicks Estimating the Click-Through Rate for New Ads》 FM ICDM 2010 《Factorization Machines》 FFM RecSys 2016 《Field-aware Factorization Machines for CTR Prediction》 AutoRec WWW 2015 《AutoRec: Autoencoders Meet Collaborative Filtering》 Deep Crossing SIGKDD 2016 《Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features》 NCF 《Neural Collaborative Filtering》 GBDT+LR 《Practial Lessons from Predicting Clicks on Ads at Facebook》 NFM SIGIR 2017 《Neural Factorization Machines for Sparse Predictive Analytics》 PNN ICDM 2016 《Product-based Neural Networks for User Response Prediction》 WDL RecSys 2016 《Wide & Deep Learning for Recommender Systems》 DeepFM IJCAI 2017 《DeepFM A Factorization-Machine based Neural Network for CTR Prediction》 DCN ADKDD 2017 《Deep & Cross Network for Ad Click Predictions》 AFM IJCAI 2017 《Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks》 DIN SIGKDD 2018 《Deep Interest Network for Click-Through Rate Prediction》 DIEN AAAI 2019 《Deep Interest Evolution Network for Click-Through Rate Prediction》 -
Sequential Recommendation
Model Conference Date Paper DIN SIGKDD 2018 《Deep Interest Network for Click-Through Rate Prediction》 DIEN AAAI 2019 《Deep Interest Evolution Network for Click-Through Rate Prediction》 DSIN IJCAI 2019 《Deep Session Interest Network for Click-Through Rate Prediction》 SASRec ICDM 2018 《Self-Attentive Sequential Recommendation》 MIND 2019 《Multi-Interest Network with Dynamic Routing for Recommendation at Tmall》 BST 2019 《Behavior Sequence Transformer for E-commerce Recommendation in Alibaba》 BERT4Rec CIKM 2019 《BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer》 SRGNN AAAI 2019 《Session-Based Recommendation with Graph Neural Networks》 S3Rec CIKM 2020 《S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization》 LightSANs SIGIR 2021 《Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation》 CORE SIGIR 2022 《CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space》 -
Knowledge-based Recommendation
Model Conference Date Paper CKE SIGKDD 2016 《Collaborative Knowledge Base Embedding for Recommender Systems》 CFKG MDPI 2018 《Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation》 KGAT SIGKDD 2019 《KGAT Knowledge Graph Attention Network for Recommendation》 KGCN WWW 2019 《Knowledge graph convolution networks for recommender systems》 RippleNet CIKM 2018 《RippleNet Propagating User Preferences on the Knowledge Graph for Recommender Systems.》 MKR WWW 2019 《Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation》 KGNN-LS SIGKDD 2019 《Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems》 DKN WWW 2018 《DKN: Deep Knowledge-Aware Network for News Recommendation》 -
GNN-based Recommendation
Model Conference Date Paper NGCF SIGIR 2019 《Neural Graph Collaborative Filtering》 mult-GCCF 2020 《Multi-Graph Convolution Collaborative Filtering》 DGCF SIGIR 2020 《Disentangled Graph Collaborative Filtering》 LightGCN SIGIR 2020 《LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation》 SGL SIGIR 2021 《Self-supervised Graph Learning for Recommendation》 HMLET WSDM 2022 《Linear, or Non-Linear, That is the Question!》 SimGCL SIGIR 2022 《Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation》 XSimGCL 2022 《XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation》 HCCF SIGIR 2022 《Hypergraph Contrastive Collaborative Filtering》 SVD-GCN CIKM 2022 《SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation》 SHT KDD 2022 《Self-Supervised Hypergraph Transformer for Recommender Systems》 LightGCL ICLR 2023 《LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation》 -
Survey
Paper Conference Date 《A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources》 2020 《A Survey on Neural Recommendation-From Collaborative Filtering to Content and Context Enriched Recommendation-TKDE》 TKDE 2021 《A Survey on Session-based Recommender Systems》 2021 《Self-Supervised Representation Learning: Introduction, Advances and Challenges》 2021 《Deep Learning for Click-Through Rate Estimation》 2021 《Text Data Augmentation for Deep Learning》 JBD 2021 《Contrastive self-supervised learning: review, progress, challenges and future research directions》 International Journal of Multimedia Information Retrieval 2022 《Negative Sampling for Contrastive Representation Learning: A Review》 2022 《Text Transformations in Contrastive Self-Supervised Learning: A Review》 2022 -
General Recommendation
Model Conference Date Paper BPR UAI 2009 《BPR: Bayesian Personalized Ranking from Implicit Feedback》 NeuMF WWW 2017 《Neural Collaborative Filtering》 ADT WSDM 2021 《Denoising Implicit Feedback for Recommendation》 DirectAU KDD 2022 《Towards Representation Alignment and Uniformity in Collaborative Filtering》