Showing 1–12 of 12 results
/ Date/ Name
Feb 4, 2025Towards graph neural networks for provably solving convex optimization problemsMay 27, 2024Probabilistic Graph Rewiring via Virtual NodesJun 2, 2025Principled Data Augmentation for Learning to Solve Quadratic Programming ProblemsOct 3, 2023Probabilistically Rewired Message-Passing Neural NetworksSep 11, 2023Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based AnalysisApr 30, 2026On the Expressive Power of GNNs to Solve Linear SDPsJan 26, 2026GraIP: A Benchmarking Framework For Neural Graph Inverse ProblemsDec 18, 2022Influence-Based Mini-Batching for Graph Neural NetworksOct 16, 2023Exploring the Power of Graph Neural Networks in Solving Linear Optimization ProblemsJun 22, 2022Ordered Subgraph Aggregation NetworksFeb 13, 2026Learning to Approximate Uniform Facility Location via Graph Neural NetworksDec 4, 2025GraphBench: Next-generation graph learning benchmarking