| Transfer Learning for Node Regression Applied to Spreading Prediction | Mar 31, 2021 | MisinformationNode Regression | CodeCode Available | 0 | 5 |
| FIT-GNN: Faster Inference Time for GNNs Using Coarsening | Oct 19, 2024 | ClassificationGraph Classification | CodeCode Available | 0 | 5 |
| Fully Distributed Online Training of Graph Neural Networks in Networked Systems | Dec 8, 2024 | Node RegressionScheduling | CodeCode Available | 0 | 5 |
| Uplift Modeling Under Limited Supervision | Mar 28, 2024 | Graph Neural NetworkNode Regression | CodeCode Available | 0 | 5 |
| Infinite Width Graph Neural Networks for Node Regression/ Classification | Oct 12, 2023 | Gaussian ProcessesGraph Attention | CodeCode Available | 0 | 5 |
| Propagation on Multi-relational Graphs for Node Regression | Oct 15, 2021 | Node Regressionregression | CodeCode Available | 0 | 5 |
| Node Regression on Latent Position Random Graphs via Local Averaging | Oct 29, 2024 | Graph RegressionNode Regression | —Unverified | 0 | 0 |
| Graph Neural Tangent Kernel: Convergence on Large Graphs | Jan 25, 2023 | Node ClassificationNode Regression | —Unverified | 0 | 0 |
| Explaining Dynamic Graph Neural Networks via Relevance Back-propagation | Jul 22, 2022 | Link PredictionNode Regression | —Unverified | 0 | 0 |
| Inductive Graph Representation Learning with Quantum Graph Neural Networks | Mar 31, 2025 | Graph Representation LearningNode Regression | —Unverified | 0 | 0 |
