IEEE

Automatic Design of Deep Graph Neural Networks With Decoupled Mode

Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...

Build a AI Trading Desk That Debates Signals, Risk & Timing

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...
GitHub

Code: Dynamics-Informed Reservoir Computing with Visibility Graphs

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the ...
IEEE

Verilog Code Generation from Script for Generic Digital Designs

Abstract: VLSI design starts with the writing of Register Transfer Level (RTL) code using Hardware Description Language (HDL).Verilog and VHDL are two powerful HDLs. Designers must have the skills to ...
GitHub

User-Defined P-Code Graph Rewriting (building on

I am working on a project to implement P-Code graph rewriting in Ghidra, specifically to support "macro folding" (collapsing P-Code patterns into simplified forms). My current design concept is ...