| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| CKE | 2016 | Collaborative knowledge base embedding for recommender systems | |
| DKN | 2018 | Deep Knowledge-Aware Network for News Recommendation | https://github.com/hwwang55/DKN |
| KSR | 2018 | Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks | https://github.com/RUCDM/KSR |
| entity2rec | 2017 | Entity2rec: learning user-item relatedness from knowledge graphs for top-n item recommendation | https://github.com/D2KLab/entity2rec |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| CFKG | 2018 | Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation | https://github.com/evison/KBE4ExplainableRecommendation |
| SHINE | 2018 | Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction | |
| DKFM | 2019 | Location embeddings for next trip recommendation |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| KTGAN | 2018 | A knowledge-enhanced deep recommendation framework incorporating gan-based models | https://github.com/ZikaiGuo/KTGAN |
| BEM | 2019 | Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks | |
| RCF | 2019 | Relational collaborative filtering: Modeling multiple item relations for recommendation |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| FMG | 2017 | Meta-graph based recommendation fusion over heterogeneous information networks | https://github.com/HKUST-KnowComp/FMG |
| Hete-MF | 2013 | Collaborative filtering with entity similarity regularization in heterogeneous information networks | |
| HeteRec | 2013 | Recommendation in heterogeneous information networks with implicit user feedback | |
| HeteRec_p | 2014 | Personalized entity recommendation: A heterogeneous information network approach | |
| Hete-CF | 2014 | Hete-cf: Social-based collaborative filtering recommendation using heterogeneous relations | |
| SemRec | 2015 | Semantic path based personalized recommendation on weighted heterogeneous information networks | |
| HERec | 2018 | Heterogeneous information network embedding for recommendation | https://github.com/librahu/HERec |
| RuleRec | 2019 | Jointly learning explainable rules for recommendation with knowledge graph | https://github.com/THUIR/RuleRec |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| MCRec | 2018 | Leveraging metapath based context for top-n recommendation with a neural co-attention model | https://github.com/librahu/MCRec |
| RKGE | 2019 | Recurrent knowledge graph embedding for effective recommendation | https://github.com/sunzhuntu/Recurrent-Knowledge-Graph-Embedding |
| KPRN | 2019 | Explainable reasoning over knowledge graphs for recommendation | https://github.com/xiangwang1223/KPRN https://github.com/terwilligers/knowledge-graph-recommender |
| PGPR | 2019 | Reinforcement knowledge graph reasoning for explainable recommendation | https://github.com/orcax/PGPR https://github.com/Jindiande/PGPR_conv2d |
| EIUM | 2019 | Explainable interaction-driven user modeling over knowledge graph for sequential recommendation | |
| Ekar | 2019 | Explainable knowledge graph-based recommendation via deep reinforcement learning | https://github.com/DeepGraphLearning/RecommenderSystems |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| RippleNet | 2018 | Ripplenet: Propagating user preferences on the knowledge graph for recommender systems | https://github.com/hwwang55/RippleNet |
| AKUPM | 2019 | Akupm: Attentionenhanced knowledge-aware user preference model for recommendation | |
| RCoLM | 2019 | Unifying taskoriented knowledge graph learning and recommendation |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| KGCN | 2019 | Knowledge graph convolutional networks for recommender systems | https://github.com/KanchiShimono/KGCN |
| KGCN-LS | 2019 | Knowledge-aware graph neural networks with label smoothness regularization for recommender systems | |
| KGAT | 2019 | Kgat: Knowledge graph attention network for recommendation | https://github.com/xiangwang1223/knowledge_graph_attention_network https://github.com/LunaBlack/KGAT-pytorch（包含CKE） |
| KNI | 2019 | An end-to-end neighborhood-based interaction model forknowledge-enhanced recommendation | |
| IntentGC | 2019 | Intentgc: a scalable graph convolution framework fusing heterogeneous information for recommendation | https://github.com/peter14121/intentgc-models |
| 方法 | 年份 | 论文 | 源码 |
|---|---|---|---|
| M2GRL | 2020 | M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems | https://github.com/99731/M2GRL |
| LR-GCCF | 2020 | Revisiting Graph based Collaborative Filtering : A Linear Residual Graph Convolutional Network Approach | https://github.com/newlei/LR-GCCF |
| MCCF | 2020 | Multi-Component Graph Convolutional Collaborative Filtering | https://github.com/RuijiaW/Multi-Component-Graph-Convolutional-Collaborative-Filtering |
| NGCF | 2019 | Neural Graph Collaborative Filtering | https://github.com/xiangwang1223/neural_graph_collaborative_filtering |
| MMGCN | 2019 | Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video | https://github.com/weiyinwei/MMGCN |
| 2019 | Graph-based-Recommendation-System | https://github.com/YuxuanLongBeyond/Graph-based-Recommendation-System https://github.com/chandan-u/graph-based-recommendation-system |
|
| MKR | 2019 | Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation | https://github.com/hwwang55/MKR |
| KBRD | 2019 | Towards Knowledge-Based Recommender Dialog System | https://github.com/THUDM/KBRD |