AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
IEEE

DAHBM-GCN: A Flexible Graph Convolution Network Accelerator With Multiple Dataflows and HBM

Abstract: Graph-structured data has been widely applied in transportation, molecular, and e-commerce networks, etc. Graph Convolutional Network (GCN) has emerged as an efficient approach to processing ...
IEEE

AnAdaptive Graph Convolution-based Bi-level Planning Strategy for Urban Fast-Charging Stations in Electricity-Transportation Coupled Networks

Abstract: To address the mismatch between massive charging requirement triggers and limited charging resource supply in Electricity-Transportation Coupled Networks (ETCNs), this paper proposes a ...
BBC

Solving simultaneous equations graphically

To find solutions from graphs, look for the point where the two graphs cross one another. This is the solution point. For example, the solution for the graphs \(y = x + 1\) and \(x + y = 3\) is the ...