Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from others in a graph dataset. Existing methods predominantly rely on standard Graph Neural Networks ...
Velocity-time graphs show how the velocity (or speed) of a moving object changes with time. These graphs also show if the object is moving at a constant speed or accelerating, decelerating, or still.
Live visualization for GEPA prompt-optimization runs. Renders the candidate tree as a force-directed graph so you can watch prompts evolve over a pareto frontier in real time. Big nodes are candidates ...
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