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

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 ...
IEEE

BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction

Abstract: Trajectory prediction allows better decision-making in applications of autonomous vehicles (AVs) or surveillance by predicting the short-term future movement of traffic agents. It is ...
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 ...
BBC

Graphs of quadratic functions

All quadratic functions have the same type of curved graphs with a line of symmetry. The graph of the quadratic function \(y = ax^2 + bx + c \) has a minimum turning point when \(a \textgreater 0 \) ...