Graph Mining: Practical Uses and Instruments for Exploring Complex Networks -
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Pristatymas per 17-23 d.d.
30 dienų grąžinimo politika
Graph Mining: Power Laws and Graph Queries.- Frequent Subgraphs Mining.- Analyzing and Predicting Links in Graph-Based Data.- Node Similarity and Classification.- Graph Classification.- Graph Clustering.- Overlapping and Non-overlapping Communities.- Anomaly Detection.- Graph Summarization.- Knowledge Graph Processing.- Role of Deep Learning in Graph Mining.- Graph Convolutional Network (GCN).
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Aprašymas
Graph Mining: Power Laws and Graph Queries.- Frequent Subgraphs Mining.- Analyzing and Predicting Links in Graph-Based Data.- Node Similarity and Classification.- Graph Classification.- Graph Clustering.- Overlapping and Non-overlapping Communities.- Anomaly Detection.- Graph Summarization.- Knowledge Graph Processing.- Role of Deep Learning in Graph Mining.- Graph Convolutional Network (GCN).
Daugiau informacijos
| Leidėjas | Springer |
|---|---|
| Išleidimo metai | 2025 |
| Viršelio tipas | Kieti viršeliai |
| EAN | 9783031938016 |