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Found 4 papers, 2 papers with code
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
As GNN models are deployed to more mission-critical applications, we are in dire need for a common evaluation protocol of explainability methods of GNNs.
Stochastic Gradient Descent Works Really Well for Stress Minimization
Stress minimization is among the best studied force-directed graph layout methods because it reliably yields high-quality layouts.
A Sparse Stress Model
Force-directed layout methods constitute the most common approach to draw general graphs.
Computational Geometry Data Structures and Algorithms
Link Prediction with Social Vector Clocks
State-of-the-art link prediction utilizes combinations of complex features derived from network panel data.
