A5069625660- Complex Network Analysis Techniques
- Advanced Clustering Algorithms Research
- Image Retrieval and Classification Techniques
- Trace Elements in Health
- Advanced Graph Neural Networks
- Network Security and Intrusion Detection
- Molecular Sensors and Ion Detection
- Neuroscience and Neuropharmacology Research
Shanghai Normal University
2021
Shandong Normal University
2020
Most community detection methods focus on the similarities between nodes to achieve partitioning. Traditional network representation learning are also limited local context of central nodes, which results in less truly representative results. This article examines nodes' influence information, affiliating and similarity topologies proposes a more effective node strategy. According information global topology social graph, method combining embedding is designed. The effectiveness improved by...
Depression is immensely attributed to the overactivation of N-methyl-d-aspartic acid (NMDA) receptor in brains. As regulatory binding partners NMDA receptor, both Zn2+ and H+ are intimately interrelated receptor's activity. Therefore, exploring synergistic changes on levels brains will promote knowledge treatment depression. However, lack efficient, appropriate imaging tools limits simultaneously tracking living mouse Thus, a well-designed dual-color fluorescent probe (DNP) was fabricated...
The clustering algorithm plays an important role in data mining and image processing. breakthrough of precision method directly affects the direction progress following research. At present, types algorithms are mainly divided into hierarchical, density-based, grid-based model-based ones. This paper studies Clustering by Fast Search Find Density Peaks (CFSFDP) algorithm, which is a new based on density. has characteristics no iterative process, few parameters high precision. However, we...