Sihang Zhou
3 papers in the PaperMetrix corpus
Papers by this author
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Image Representation Learning by Transformation Regression
2021
Self-supervised learning is a thriving research direction since it can relieve the burden of human labeling for machine learning by seeking for supervision from data instead of human annotation. Although demonstrating promising performance in various …
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RARE: Robust Masked Graph Autoencoder
2023 · arXiv (Cornell University)
Masked graph autoencoder (MGAE) has emerged as a promising self-supervised graph pre-training (SGP) paradigm due to its simplicity and effectiveness. However, existing efforts perform the mask-then-reconstruct operation in the raw data space as is done …
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Cluster-Guided Contrastive Graph Clustering Network
2023 · Proceedings of the AAAI Conference on Artificial Intelligence
Benefiting from the intrinsic supervision information exploitation capability, contrastive learning has achieved promising performance in the field of deep graph clustering recently. However, we observe that two drawbacks of the positive and negative sample construction …