At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.

Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

Currently, PyTorch supports CUDA Graph features under torch.cuda namespace, providing capture, replay functionality via C++ CUDAGraph implementation. This RFC proposes to generalize the existing graph ...

This project implements a custom Graph Data Structure in Java to solve two real-world problems involving pathfinding. It avoids external libraries and uses only core Java logic for BFS/DFS-based ...

Scholarly knowledge graphs provide researchers with a novel modality of information retrieval, and their wider use in academia is beneficial for the digitalization of published works and the ...

Abstract: Cycles and knots in directed graphs are problems that can be associated with deadlocks in database and communication systems. Many algorithms to detect cycles and knots in directed graphs ...