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摘要: 论文信息 论文标题:Accurate Learning of Graph Representations with Graph Multiset Pooling论文作者:Jinheon Baek, Minki Kang, Sung Ju Hwang论文来源:2021, ICLR论文地址:downlo 阅读全文
posted @ 2022-05-04 20:56 多发Paper哈 阅读(550) 评论(0) 推荐(1) 编辑
摘要: 论文信息 论文标题:Measuring and Relieving the Over-smoothing Problem for Graph NeuralNetworks from the Topological View论文作者:Deli Chen, Yankai Lin, Wei Li, Pen 阅读全文
posted @ 2022-05-04 09:33 多发Paper哈 阅读(617) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Towards Deeper Graph Neural Networks论文作者:Meng Liu, Hongyang Gao, Shuiwang Ji论文来源:2020, KDD论文地址:download 论文代码:download 1 Introduction 问题引入: 图 阅读全文
posted @ 2022-05-02 16:23 多发Paper哈 阅读(1817) 评论(0) 推荐(1) 编辑
摘要: 论文信息 论文标题:Debiased Contrastive Learning论文作者:Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, Stefanie Jegelka论文来源:2020, NeurIPS论文地址: 阅读全文
posted @ 2022-04-28 20:56 多发Paper哈 阅读(1423) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Iterative Graph Self-Distillation论文作者:Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing论文来源:2021, ICLR论 阅读全文
posted @ 2022-04-28 11:51 多发Paper哈 阅读(341) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Graph infoclust: Leveraging cluster-level node information for unsupervised graph representation learning论文作者:Costas Mavromatis, G. Karypis论 阅读全文
posted @ 2022-04-28 10:28 多发Paper哈 阅读(635) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning论文作者:Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zha 阅读全文
posted @ 2022-04-27 17:06 多发Paper哈 阅读(653) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning论文作者:Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Go 阅读全文
posted @ 2022-04-26 23:14 多发Paper哈 阅读(380) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Understanding Negative Sampling in Graph RepresentationLearning论文作者:Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang论文 阅读全文
posted @ 2022-04-26 15:18 多发Paper哈 阅读(261) 评论(0) 推荐(0) 编辑
摘要: 论文信息 论文标题:Self-supervised Graph Representation Learning via Bootstrapping论文作者:Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Li 阅读全文
posted @ 2022-04-25 20:08 多发Paper哈 阅读(199) 评论(0) 推荐(0) 编辑
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