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_research_directions/temporal-graph-learning/tga.md

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category: temporal-graph-learning
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order: 2
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header:
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overlay_filter: linear-gradient(rgba(255, 255, 255, 0.1), rgba(0, 0, 0, 1))
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overlay_image: /assets/images/research_directions/temporal-graph-learning/TGA.jpg
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overlay_image: /assets/images/research_directions/temporal-graph-learning/TGA.png
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one-liner: How to deploy TGL methods for applications such as disease modeling, anomaly detection and forecasting?
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excerpt: Explore the cutting-edge applications of temporal graph learning, from real-time fraud detection to advanced disease modeling. Discover how dynamic network analysis enhances accuracy and efficiency in various domains.
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_research_directions/temporal-graph-learning/tgb.md

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category: temporal-graph-learning
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overlay_filter: linear-gradient(rgba(0, 0, 0, 0.3), rgba(0, 0, 0, 0.5))
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overlay_image: /assets/images/research_directions/temporal-graph-learning/TGB.jpg
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overlay_image: /assets/images/research_directions/temporal-graph-learning/TGB.png
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overlay_size: contain
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one-liner: How to realistically, reproducibly, and robustly evaluate machine learning models on temporal graphs?
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excerpt: ""
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