馒头and花卷

摘要： Huang N. and Villar S. A short tutorial on the weisfeiler-lehman test and its variants. arXiv preprint arXiv:2201.07083, 2022. 概 本文介绍了 WL-Test 和它的一些变体 阅读全文

摘要： Veli\check{c}kovi\acute{c} P., Cucurull G., Casanova A., Romero A. and Li\grace{o} P. and Bengio Y. Graph attention networks. In International Confere 阅读全文

摘要： Hou Z., Liu X., Cen Y., Dong Y., Yang H., Wang C. and Tang J. GraphMAE: self-supervised masked graph autoencoders. In ACM International Conference on 阅读全文

摘要： Backstrom L. and Leskovec J. Supervised random walks: predicting and recommending links in social networks. In ACM International Conference on Web Sea 阅读全文

摘要： 目录概符号说明MetricsSampled-based ranking例子Sampled metrics Krichene W. and Rendle S. On sampled metrics for item recommendation. KDD, 2020. 概 作者对推荐系统中 sampl 阅读全文

摘要： Page L., Brin S., Motwani R. and Winograd T. The pagerank citation ranking: bringing order to the web. Technical report, Stanford InfoLab, 1998. 概 经典的 阅读全文

摘要： Hamilton W. L., Ying R. and Leskovec J. Inductive representation learning on large graphs. In Advances in Neural Information Processing Systems (NIPS) 阅读全文

摘要： Wang Y., Li C., Li M., Jin W., Liu Y., Sun H., Xie X. and Tang J. Localized graph collaborative filtering. 概 现在的推荐系统, 倾向于为每个 user, item 构建 embeddings. 阅读全文

摘要： Rong Y., Huang W., Xu T. and Huang J. DropEdge: towards deep graph convolutional networks on node classification. In International Conference on Learn 阅读全文

摘要： Gori M. and Pucci A. ItemRank: a random-walk based scoring algorithm for recommender engines. In International Joint Conferences on Artificial Intelli 阅读全文

摘要： data 此部分模块包含了一些推荐系统数据集的定义以及预处理方法. datasets RecDataSet freerec.data.RecDataSet 提供了一般 (未处理) 的数据集的框架, 它的子类必须提供: _cfg 的类属性, 其中定义了数据集的 Fields; raw2data 方法, 阅读全文

摘要： Ding S., Wu P., Feng F., Wang Y., He X., Liao Y. and Zhang Y. Addressing unmeasured confounder for recommendation with sensitivity analysis. In ACM SI 阅读全文

摘要： Chen J., Dong H., Qiu Y., He X., Xin X., Chen L., Lin G. and Yang K. AutoDebias: learning to debias for recommendation. In International ACM SIGIR Con 阅读全文

摘要： Frankle J. and Carbin M. The lottery ticket hypothesis: finding sparse, trainable neural networks. In International Conference on Learning Representat 阅读全文

摘要： Guo S., Zou L., Liu Y., Ye W., Cheng S., Wang S., Chen H., Yin D. and Chang Y. Enhanced doubly robust learning for debiasing post-click conversion rat 阅读全文

摘要： Liu C., Gao C., Jin D. and Li Y. Improving location recommendation with urban knowledge graph. In ACM SIGKDD International Conference on Knowledge Dis 阅读全文

摘要： Defferrard M., Bresson X. and Vandergheynst P. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural I 阅读全文

摘要： Cao J., Lin X., Cong X., Ya J., Liu T. and Wang B. DisenCDR: learning disentangled representations for cross-domain recommendation. In ACM SIGIR Confe 阅读全文

摘要： Poole B., Ozair S., van den Oord A., Alemi A. A. and Tucker G. On variational bounds of mutual information. In International Conference on Machine Lea 阅读全文

摘要： Le T. and Lauw H. W. Explainable recommendation with comparative constraints on product aspects. In ACM International Conference on Web Search and Dat 阅读全文