1. 【arXiv 2020】 Graph neural networks in recommender systems: a survey. [paper](https://arxiv.org/pdf/2011.02260)
2. 【arXiv 2021】 Graph learning based recommender systems: A review. [paper](https://arxiv.org/pdf/2105.06339)
3. 【KDD 2018】 Graph Convolutional Matrix Completion (GC-MC). [paper](https://arxiv.org/pdf/1706.02263)
4. 【KDD 2018】 Graph convolutional neural networks for web-scale recommender systems (PinSage). [paper](https://dl.acm.org/doi/pdf/10.1145/3219819.3219890?casa_token=oYvwvyblQqEAAAAA:PTnSdOyciaB1PGAyivQWyuLi--BNDQxIPvIC-Rnoueq0bIRph7bE6GQvAk_QSDnh63fU-4M8FbL475o)
5. 【RecSys 2018】 Spectral collaborative fltering (SpectralCF). [paper](https://dl.acm.org/doi/pdf/10.1145/3240323.3240343?casa_token=P6_dH2xN8VgAAAAA:OoHTVx-AU2cnh_NS1mFxr2ud-bELXxpqLMLcYs0OXgngv3LAHVJl2n96MN30xQbgKTmAhGV62b__XMc)
6. 【SIGIR 2019】 Neural graph collaborative filtering (NGCF). [paper](https://dl.acm.org/doi/pdf/10.1145/3331184.3331267?casa_token=92VbA9XH7DQAAAAA:jVdvF559IxNw_E1q0w2gRfNqi6_cu_c1wtfvU_5E7t-bicy4KjwCUG2RK3nXMq-3EMP7UjN4Zy42uqc)
7. 【SIGIR 2020】 Lightgcn: Simplifying and powering graph convolution network for recommendation (LightGCN). [paper](https://dl.acm.org/doi/pdf/10.1145/3397271.3401063?casa_token=ePMNswpnqxsAAAAA:YKqIuSnQbRVivX6RSbvbQTfIJJk4R44w-1Pom94_zFSBveXduYQ4ZCLnW85GbitVEDQPM00Rt0XzOA0)
8. 【SIGIR 2019】 A neural influence diffusion model for social recommendation (DiffNet). [paper](https://dl.acm.org/doi/pdf/10.1145/3331184.3331214?casa_token=HOO3PYyWptUAAAAA:_eb0fGkcJhGVg9pMHOCob8cMl6fGLHpKD1VlQPnW-7nFML4H_vmIymFKtjE4twCa-FNSZBvS5w7KYpo)
9. 【WWW 2019】 Graph neural networks for social recommendation (GraphRec). [paper](https://dl.acm.org/doi/pdf/10.1145/3308558.3313488?casa_token=sHyLa1l9Cy4AAAAA:9r2N8Mf37h4DDIm01J_FuYa9Id8F1Ejs_p2UcmYRdRtl9u2jUk4Dm9vL9S1XBBEsav9dxRAjZoykoXA)
10. 【WWW 2019】 Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems (DANSER). [paper](https://dl.acm.org/doi/pdf/10.1145/3308558.3313442?casa_token=njPVZPVaAnYAAAAA:G4LTaT8AK_P1-Zgqvr2gJkLOKxn4_c9-c39I-AZYT0ttdElNQmqxWJnymBjVXu9VnHChe__-0pC5ewQ)
11. 【RecSys 2019】 Deep social collaborative filtering (DSCF). [paper](https://dl.acm.org/doi/pdf/10.1145/3298689.3347011?casa_token=2pHA-jvXwtwAAAAA:MqlWqZ8kHdQ1UmmtGanOt8Mpf7_lURBi96wMrVpVhwMf0Ge8msVaWCRk6bXj_Iij6tDzvv27nilo1KY)