Abstract: Very large scale integration (VLSI) circuits typically consist of millions of nets, posing significant challenges for efficient physical design. Interconnect delay has become a critical ...
A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...
Freepik CEO Joaquin Cuenca Abela wants creative teams to share their processes. Not just the final outputs, but also the steps. Cuenca argues that progress in AI design will come from exposing ...
How can we make every node in a graph its own intelligent agent—capable of personalized reasoning, adaptive retrieval, and autonomous decision-making? This is the core question explored by a group ...
When running a Parallel node in a workflow and adding an LLM node within the Parallel node, the total token count is found to be very large after the node finishes ...
Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
Abstract: Parallel computing approaches have illustrated promising potential in accelerating state estimation (SE). How to efficiently handle data processing and updating has become a crucial problem ...
In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the ...
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