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: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...
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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