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12/07/2022
When Geometric Deep Learning Meets Pretrained Protein Language Models
Geometric deep learning has recently achieved great success in non-Eucli...
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05/27/2022
Architecture-Agnostic Masked Image Modeling – From ViT back to CNN
Masked image modeling (MIM), an emerging self-supervised pre-training me...
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02/13/2022
Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation
Generalizing knowledge beyond source domains is a crucial prerequisite f...
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11/01/2021
Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding
Guessing random additive noise decoding (GRAND) algorithm has emerged as...
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10/04/2021
3D-Transformer: Molecular Representation with Transformer in 3D Space
Spatial structures in the 3D space are important to determine molecular ...
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08/18/2021
Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape
Motivated by the tremendous progress we witnessed in recent years, this ...
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03/28/2021
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?
Sentence insertion is a delicate but fundamental NLP problem. Current ap...
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04/08/2019