论文解读 - 随笔分类(第4页) - 图神经网络

论文解读（g-U-Nets）《Graph U-Nets》

摘要：论文信息论文标题：Graph U-Nets论文作者：Hongyang Gao, Shuiwang Ji论文来源：2019,ICML论文地址：download 论文代码：download 1 Introduction 受到类似 encoder-decoder architecture 的 U-Net 阅读全文

posted @ 2022-08-10 19:43 图神经网络阅读(925) 评论(0) 推荐(1) 编辑

论文解读（DropEdge）《DropEdge: Towards Deep Graph Convolutional Networks on Node Classification》

摘要：论文信息论文标题：DropEdge: Towards Deep Graph Convolutional Networks on Node Classification论文作者：Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang论文来源：2020, 阅读全文

posted @ 2022-08-09 19:57 图神经网络阅读(836) 评论(0) 推荐(1) 编辑

论文解读（soft-mask GNN）《Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks》

摘要：论文信息论文标题：Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks论文作者：Mingqi Yang, Yanming Shen, Heng Qi, Baocai Yin论文来源：2021, WWW论文地址：阅读全文

posted @ 2022-08-08 15:33 图神经网络阅读(1183) 评论(0) 推荐(2) 编辑

论文解读（ AF-GCL）《Augmentation-Free Graph Contrastive Learning with Performance Guarantee》

摘要：论文信息论文标题：Augmentation-Free Graph Contrastive Learning with Performance Guarantee论文作者：Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang论文来源：2022, ArXiv论文地址：阅读全文

posted @ 2022-08-04 22:08 图神经网络阅读(714) 评论(0) 推荐(1) 编辑

论文解读（PPNP）《Predict then Propagate: Graph Neural Networks meet Personalized PageRank》

摘要：论文信息论文标题：Predict then Propagate: Graph Neural Networks meet Personalized PageRank论文作者：Johannes Gasteiger, Aleksandar Bojchevski, Stephan Günnemann论文来阅读全文

posted @ 2022-08-04 21:14 图神经网络阅读(1598) 评论(0) 推荐(0) 编辑

论文解读（JKnet）《Representation Learning on Graphs with Jumping Knowledge Networks》

摘要：论文信息论文标题：Representation Learning on Graphs with Jumping Knowledge Networks论文作者：Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawar 阅读全文

posted @ 2022-08-03 16:22 图神经网络阅读(1224) 评论(0) 推荐(2) 编辑

2022年计算机领域顶级学术会议截止时间汇总

摘要：先附上CCF推荐的国际学术会议和期刊目录供各位同仁参考~ 【link】一、机器学习/人工智能 AAAI 2022（CCF-A） National Conference of the American Association for Artificial Intelligence 截稿日期：已截稿阅读全文

posted @ 2022-08-03 11:02 图神经网络阅读(2420) 评论(0) 推荐(0) 编辑

论文解读（GSAT）《Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism》

摘要：论文信息论文标题：Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism论文作者：Siqi Miao, Mia Liu, Pan Li论文来源：2022,ICML论文地址：download 阅读全文

posted @ 2022-08-01 21:06 图神经网络阅读(1300) 评论(0) 推荐(0) 编辑

论文解读（Survey）《Principal Neighbourhood Aggregation for Graph Nets》

摘要：论文信息论文标题：A Survey on Graph Structure Learning: Progress and Opportunities论文作者：Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Yuanqi Du, Jieyu Zhang, Qiang Li 阅读全文

posted @ 2022-07-30 10:45 图神经网络阅读(722) 评论(0) 推荐(0) 编辑

论文解读（PNA）《Principal Neighbourhood Aggregation for Graph Nets》

摘要：论文信息论文标题：Principal Neighbourhood Aggregation for Graph Nets论文作者：Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Veličković论文来源：20 阅读全文

posted @ 2022-07-29 09:51 图神经网络阅读(801) 评论(0) 推荐(0) 编辑

论文解读（SAGA）《Siamese Attribute-missing Graph Auto-encoder》

摘要：论文信息论文标题：Siamese Attribute-missing Graph Auto-encoder论文作者：Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu论文来源：2021,arXiv论文地址：download 论文代码：download 1 I 阅读全文

posted @ 2022-07-27 15:03 图神经网络阅读(244) 评论(0) 推荐(0) 编辑

论文解读（MSN）《Masked Siamese Networks for Label-Effificient Learning》

摘要：论文信息论文标题：Masked Siamese Networks for Label-Effificient Learning论文作者：Mahmoud Assran, Mathilde Caron......论文来源：2022,arXiv论文地址：download 论文代码：download 1 阅读全文

posted @ 2022-07-26 10:06 图神经网络阅读(466) 评论(0) 推荐(0) 编辑

论文解读（MaskGAE）《MaskGAE: Masked Graph Modeling Meets Graph Autoencoders》

摘要：论文信息论文标题：MaskGAE: Masked Graph Modeling Meets Graph Autoencoders论文作者：Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian......论文来源：2022,arXiv论阅读全文

posted @ 2022-07-25 10:17 图神经网络阅读(1351) 评论(0) 推荐(1) 编辑

论文解读（GCNII）《Simple and Deep Graph Convolutional Networks》

摘要：论文信息论文标题：Simple and Deep Graph Convolutional Networks论文作者：Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li论文来源：2020,PMLR论文地址：download 论文阅读全文

posted @ 2022-07-19 10:34 图神经网络阅读(953) 评论(0) 推荐(2) 编辑

论文解读（ValidUtil）《Rethinking the Setting of Semi-supervised Learning on Graphs》

摘要：论文信息论文标题：Rethinking the Setting of Semi-supervised Learning on Graphs论文作者：Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang论阅读全文

posted @ 2022-07-07 17:14 图神经网络阅读(442) 评论(0) 推荐(0) 编辑

论文解读《On the Prediction Instability of Graph Neural Networks》

摘要：论文信息论文标题：On the Prediction Instability of Graph Neural Networks论文作者：Max Klabunde, Florian Lemmerich论文来源：2022, arXiv论文地址：download 论文代码：download 1 Intr 阅读全文

posted @ 2022-07-01 15:19 图神经网络阅读(99) 评论(0) 推荐(0) 编辑

论文解读（AGC）《Attributed Graph Clustering via Adaptive Graph Convolution》

摘要：论文信息论文标题：Attributed Graph Clustering via Adaptive Graph Convolution论文作者：Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu论文来源：2019, IJCAI论文地址：download 阅读全文

posted @ 2022-06-30 11:21 图神经网络阅读(1052) 评论(0) 推荐(1) 编辑

论文解读（DCN）《Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering》

摘要：论文信息论文标题：Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering论文作者：Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong论文来源：2 阅读全文

posted @ 2022-06-28 21:17 图神经网络阅读(1275) 评论(0) 推荐(0) 编辑

论文解读（LGAE）《Simple and Effective Graph Autoencoders with One-Hop Linear Models》

摘要：论文信息论文标题：Simple and Effective Graph Autoencoders with One-Hop Linear Models论文作者：Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis论文来源：2020, EC 阅读全文

posted @ 2022-06-28 15:47 图神经网络阅读(182) 评论(0) 推荐(0) 编辑

论文解读（GCC）《Efficient Graph Convolution for Joint Node RepresentationLearning and Clustering》

摘要：论文信息论文标题：Efficient Graph Convolution for Joint Node RepresentationLearning and Clustering论文作者：Chakib Fettal, Lazhar Labiod,Mohamed Nadif论文来源：2021, WS 阅读全文

posted @ 2022-06-28 14:43 图神经网络阅读(969) 评论(0) 推荐(1) 编辑

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