Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...
ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
Abstract: Graph neural networks (GNNs) generally follow a recursive neighbors aggregation scheme. Recent GNNs are not powerful than the 1-Weisfeiler Lehman test, which is a necessary but insufficient ...
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