馒头and花卷

摘要： 目录概符号说明SimRecPrediction-Level DistillationEmbedding-level DistillationAdaptive Contrastive Regularization总的损失代码 Xia L., Huang C., Shi J. and Xu Y. Gra 阅读全文

摘要： 目录概UnKD代码 Chen G., Chen J., Feng F., Zhou S. and He X. Unbiased knowledge distillation for recommendation. WSDM, 2023. 概 考虑流行度偏差的知识蒸馏, 应用于推荐系统. UnKD M 阅读全文

摘要： 目录概DIST代码 Huang T., You S., Wang F., Qian C. and Xu C. Knowledge distillation from a stronger teacher. NIPS, 2022. 概 用 Pearson correlation coefficient 阅读全文

摘要： 目录概DE-RRDDistillation Experts (DE)Relaxed Ranking Distillation (RRD)代码 Kang S., Hwang J., Kweon W. and Yu H. DE-RRD: A knowledge distillation framewor 阅读全文

摘要： 目录概Topology DistillationFull Topology Distillation (FTD)Hierarchical Topology Distillation (HTD)代码 Kang S., Hwang J., Kweon W. and Yu H. Topology dist 阅读全文

摘要： 目录概符号说明Collaborative distillation (CD) Lee J., Choi M., Lee J. and Shim H. Collaborative distillation for top-N recommendation. ICDM, 2019. 概 Ranking- 阅读全文

摘要： 目录概符号说明RKD代码 Park W., Kim D., Lu Y. and Cho M. Relational knowledge distillation. CVPR, 2019. 概 符号说明 \(f_T, f_S\), teacher and student model; \(\mathc 阅读全文

摘要： 目录概符号说明Ranking Distillation代码 Tang J. and Wang K. Ranking Distillation: Learning compact ranking models with high performance for recommender system. 阅读全文

摘要： 目录概符号说明TimelyRecMulti-aspect Time Encoder (MATE)Time-aware History Encoder (TAHE)Prediction代码 Cho J., Hyun D., Kang S. and Yu H. Learning heterogeneou 阅读全文

摘要： 目录概符号说明MOJITO代码 Tran V., Salha-Galvan G., Sguerra B. and Hennequin R. Attention mixtures for time-aware sequential recommendation. SIGIR, 2023. 概 本文希望 阅读全文

摘要： 目录概符号说明GTAM交替优化求解 Wang J., Jebara T. and Chang S. Graph transduction via alternating minimization. ICML, 2008. 概 一种对类别不均更鲁棒的半监督算法. 符号说明 \(\mathcal{X}_ 阅读全文

摘要： 目录概符号说明图的构建Graph Sparsification\(\epsilon\)-neighborhood graph\(k\)NN graph\(b\)-MatchingGraph Edge Re-Weighting Jebara T., Wang J. and Chang S. Graph 阅读全文

摘要： [TOC] > [Cai X., Xia L., Ren X. and Huang C. How expressive are graph neural networks in recommendation? CIKM, 2023.](http://arxiv.org/abs/2308.11127) 阅读全文

摘要： [TOC] > [Ye W., Wang S., Chen X., Wang X., Qin Z. and Yin D. Time Matters: Sequential recommendation with complex temporal information. SIGIR, 2020.]( 阅读全文

摘要： [TOC] > [Wu J., Cai R. and Wang H. D\'ej\`a vu: A contextualized temporal attention mechanism for sequential recommendation. WWW, 2020.](http://arxiv. 阅读全文

摘要： [TOC] > [Fan Z., Liu Z., Zhang J., Xiong Y., Zheng L. and Yu P. S. Continuous-time sequential recommendation with temporal graph collaborative transfo 阅读全文

摘要： # Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations [TOC] > [Huang L., Ma Y., Liu Y., Du B., Wang S. and Li 阅读全文

摘要： [TOC] > [Zhao Y., Wang X., Chen J., Wang Y., Tang W., He X. and Xie H. Time-aware path reasoning on knowledge graph for recommendation. TOIS, 2022.](h 阅读全文

摘要： [TOC] > [Wu L., Sun P., Fu Y., Hong R., Wang X. and Wang M. A neural influence diffusion model for social recommendation. SIGIR, 2019.](https://dl.acm 阅读全文

摘要： [TOC] > [Liao J., Zhou W., Luo F., Wen J., Gao M., Li X. and Zeng J. SocialLGN: Light graph convolution network for social recommendation. Information 阅读全文