
What is Graph Analytics?
How Graph Analytics Transforms Financial Crime Detection
What is Graph Analytics? launched on August 22, 2024 with 6 votes, #2,320 of 5,471 launches that month. The site was not reachable when checked in September 2026.
What it does
Graph analytics is a game-changing technology in the fight against financial crime. By uncovering hidden connections and patterns within complex datasets, it enables financial institutions to detect and prevent fraud more effectively than ever before.
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Fast Anomaly Detection in Graphs [pdf]2020 · comp.nus.edu.sg · ▲215The NUS School of Computing is recognised among the top global universities for computer science; and exemplifies academic excellence and innovative research.


Fast Real-Time Anomaly Detection in Dynamic Graphs2020 · github.com · ▲118Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
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Hey there HN! We’re Joe and Stopa, and today we’re open sourcing InstantDB, a client-side database that makes it easy to build real-time and collaborative apps like Notion and Figma. Building modern apps these days involves a lot of schleps. For a basic CRUD app you need to spin up servers, wire up endpoints, integrate auth, add permissions, and then marshal data from the backend to the frontend and back again. If you want to deliver a buttery smooth user experience, you’ll need to add optimistic updates and rollbacks. We do these steps over and over for every feature we build, which can…
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