随笔分类 - 论文解读
摘要:论文信息 论文标题:CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation论文作者:Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin论文来
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摘要:论文信息 论文标题:Cross-domain Contrastive Learning for Unsupervised Domain Adaptation论文作者:Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang
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摘要:论文信息 论文标题:Federated Learning from Pre-Trained Models: A Contrastive Learning Approach论文作者:Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jia
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摘要:1. GNN 1.1 探究模型表达能力 How Powerful are K-hop Message Passing Graph Neural Networks Ordered Subgraph Aggregation Networks Convolutional Neural Networks o
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摘要:论文信息 论文标题:Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination论文作者:Yizhen Zheng, Shirui Pan
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摘要:论文信息 论文标题:PairNorm: Tackling Oversmoothing in GNNs论文作者:Lingxiao Zhao, Leman Akoglu论文来源:2020,ICLR论文地址:download 论文代码:download 1 Introduction GNNs 的表现随着层
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摘要:论文信息 论文标题:Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction论文作者:Shaked Brody, Uri Alon, Eran Yahav论文来源:2022,ICLR论文地址:download 论文代码:downlo
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摘要:论文信息 论文标题:How Attentive are Graph Attention Networks?论文作者:Shaked Brody, Uri Alon, Eran Yahav论文来源:2022,ICLR论文地址:download 论文代码:download 1 Abstract 在 GAT
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摘要:论文信息 论文标题:Structural Entropy Guided Graph Hierarchical Pooling论文作者:Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li论文来源:2022,ICLR论文地址:download 论文代码:downloa
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摘要:论文信息 论文标题:ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations论文作者:Ekagra Ranjan, Soumya Sanyal, Partha Pratim Taluk
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摘要:论文信息 论文标题:Graph Barlow Twins: A self-supervised representation learning framework for graphs论文作者:Piotr Bielaka, Tomasz Kajdanowicza, Nitesh V. Chawlab
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摘要:论文信息 论文标题:Understanding Attention and Generalization in Graph Neural Networks论文作者:Boris Knyazev, Graham W. Taylor, Mohamed R. Amer论文来源:2019,NeurIPS论文地
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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
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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,
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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:
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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:
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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
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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
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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
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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
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