Abstract: Graph contrastive learning (GCL) enables graph neural networks (GNNs) to learn generalized node features and achieve better performance on downstream tasks. Meanwhile, with the rapid growth ...
Code that works perfectly locally (on macOS) goes silent the moment it is deployed to a production Docker container. This is a common sight in solo development. This time, I fell into this classic ...
Abstract: Clustering based on structured graph learning involves acquiring a proximity matrix with an explicit clustering structure from the original one. However, the original proximity matrix often ...
An interactive route planning project that models a city road network as a graph and finds optimized routes using core Data Structures and Algorithms concepts. The project supports shortest, fastest, ...
A desktop application for modifying Assetto Corsa car configurations. Setup Manager for track-specific presets (save/load/delete per-track setups) Visual curve editor for power.lut and coast.lut files ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results