Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
Abstract: COVID-19 prognosis using clinical tabular data faces significant challenges due to missing values and class imbalance issues. Existing methods often overlook the complex high-order ...
Abstract: Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly ...
Both modes share the same underlying Microsoft Graph API client and authentication logic. extract-teams-chat/ ├── server.py # FastAPI entry point (serves API + static web files) ├── requirements.txt # ...
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