607 citations
- Chinese Academy of SciencesCN34 papers
- University of Chinese Academy of SciencesCN27 papers
- Fudan UniversityCN15 papers
- University of OregonUS15 papers
- Imperial College LondonGB13 papers
- Institute of High Energy PhysicsCN13 papers
- Shanghai Jiao Tong UniversityCN13 papers
- China University of Mining and Technology - Beijing11 papers
- Institute of Applied Physics and Computational MathematicsCN11 papers
- Ministry of Education of the People's Republic of ChinaCN10 papers
- Ningbo UniversityCN10 papers
- Peking UniversityCN10 papers
373 papers
Symmetry-Tunable Skyrmions and Merons in Magnetic Nanodisks via Spatially Engineered Anisotropy
X. D. Wang, J. F. Oliveira da Silva, Z. H. Tao +3
We demonstrate that spatially engineered magnetic anisotropy can stabilize skyrmion and meron spin textures in magnetic nanodisks even in the absence of Dzyaloshinskii-Moriya inter…
DAS-PMVC: A Framework for Partial Multi-View Clustering via Dual Alignment and Structure Enhancement
Shubin Ma, Liang Zhao, Chuanye He +4
In recent years, multi-view clustering has attracted widespread research interest. However, due to limitations in data collection devices, data across different views often suffer…
A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges
Chengcheng Sun, Yajie Song, Cheng Zhai +6
Graph Neural Networks (GNNs) have emerged as the leading paradigm for link prediction, enabling the inference of missing connections and the anticipation of potential future links.…
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
Chengcheng Sun, Jiayun Tian, Cheng Zhai +5
Graph Neural Networks (GNNs) have emerged as a powerful paradigm in Knowledge Graphs (KGs) due to their intrinsic ability to model graph-structured data. However, there remains a l…
Attention-based graph neural networks: a survey
Chengcheng Sun, Chenhao Li, Xiang Lin +4
Graph neural networks (GNNs) aim to learn well-trained representations in a lower-dimension space for downstream tasks while preserving the topological structures. In recent years,…
Real-Time Oriented Object Detection Transformer in Remote Sensing Images
Zeyu Ding, Yong Zhou, Jiaqi Zhao +4
Recent real-time detection transformers have gained popularity due to their simplicity and efficiency. However, these detectors do not explicitly model object rotation, especially…