Graph Mining: Practical Uses and Instruments for Exploring Complex Networks -
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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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Description
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).
More Information
| Publisher | Springer |
|---|---|
| Release year | 2025 |
| Cover type | Hardcover |
| EAN | 9783031938016 |