1. Fast approximate KNN graph construction for high dimensional data via recursive lanczos bisection;Chen Jie;Journal of Machine Learning Research,2009
2. Attentional Feature Fusion
3. Xavier Glorot and Yoshua Bengio . 2010 . Understanding the difficulty of training deep feedforward neural networks . In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 249--256 . Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 249--256.
4. Trust-aware recommendation based on heterogeneous multi-relational graphs fusion
5. Wei Guo , Yang Yang , Yaochen Hu , Chuyuan Wang , Huifeng Guo , Yingxue Zhang , Ruiming Tang , Weinan Zhang , and Xiuqiang He . 2021 a. Deep graph convolutional networks with hybrid normalization for accurate and diverse recommendation . In Proceedings of 3rd Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD. Wei Guo, Yang Yang, Yaochen Hu, Chuyuan Wang, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Weinan Zhang, and Xiuqiang He. 2021a. Deep graph convolutional networks with hybrid normalization for accurate and diverse recommendation. In Proceedings of 3rd Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD.