Self-supervised Consensus Representation Learning for Attributed Graph-Reference-Cited by-同舟云学术

Self-supervised Consensus Representation Learning for Attributed Graph

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Liu Changshu¹,Wen Liangjian²,Kang Zhao¹,Luo Guangchun¹,Tian Ling¹

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, Sichuan, China

2. Huawei Technologies Company Limited, Shenzhen, Guangdong, China

Funder

the Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475416

Reference45 articles.

1. Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski and Armand Joulin. 2020. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. (2020). Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski and Armand Joulin. 2020. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. (2020).

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GL-GNN: Graph learning via the network of graphs;Knowledge-Based Systems;2024-09

2. Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks;IEEE Transactions on Neural Networks and Learning Systems;2024-09

3. Self-supervised graph representations with generative adversarial learning;Neurocomputing;2024-08

4. Three-channel Residual Graph Convolutional Network for Semi-supervised Node Classification;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

5. Representation Learning across Feature and Topology Views with Output Correction for Graph Convolutional Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14