摘要: 论文信息 论文标题:Graph-Bert: Only Attention is Needed for Learning Graph Representations论文作者:Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun论文来源:2020, arXi 阅读全文
posted @ 2022-05-25 17:34 Learner- 阅读(6) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping论文作者:Gayan K. Kulatilleke, Marius Portmann, Ryan Ko, Shekha 阅读全文
posted @ 2022-05-25 08:55 Learner- 阅读(8) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Simple Contrastive Graph Clustering论文作者:Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu论文来源:2022,arXiv论文地址:download 论文代码:download 1 Introduct 阅读全文
posted @ 2022-05-21 17:03 Learner- 阅读(78) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Self-supervised Contrastive Attributed Graph Clustering论文作者:Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao论文来源:2021, arXiv论文地址:download 论文代码:dow 阅读全文
posted @ 2022-05-20 21:46 Learner- 阅读(25) 评论(0) 推荐(0) 编辑
摘要: https://blog.51cto.com/u_15274944/2924165 阅读全文
posted @ 2022-05-20 15:39 Learner- 阅读(7) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:SCGC : Self-Supervised Contrastive Graph Clustering论文作者:Gayan K. Kulatilleke, Marius Portmann, Shekhar S. Chandra论文来源:2022, arXiv论文地址:downlo 阅读全文
posted @ 2022-05-20 10:27 Learner- 阅读(35) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Deep Graph Clustering via Mutual Information Maximization and Mixture Model论文作者:Maedeh Ahmadi, Mehran Safayani, Abdolreza Mirzaei论文来源:2022, 阅读全文
posted @ 2022-05-19 15:38 Learner- 阅读(38) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Bilinear Graph Neural Network with Neighbor Interactions论文作者:Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zh 阅读全文
posted @ 2022-05-16 16:49 Learner- 阅读(59) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Deep Attention-guided Graph Clustering with Dual Self-supervision论文作者:Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou论文来源:2022, arXiv论文地址:downl 阅读全文
posted @ 2022-05-15 12:48 Learner- 阅读(82) 评论(0) 推荐(1) 编辑
摘要: 论文信息 论文标题:LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation论文作者:Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zha 阅读全文
posted @ 2022-05-14 15:05 Learner- 阅读(79) 评论(0) 推荐(0) 编辑