| Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise | Nov 6, 2024 | Graph ReconstructionNode Classification | —Unverified | 0 | 0 |
| Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks | Oct 18, 2023 | coreference-resolutionCoreference Resolution | —Unverified | 0 | 0 |
| A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification | May 30, 2023 | Fault Diagnosisfeature selection | —Unverified | 0 | 0 |
| Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | Jun 17, 2019 | CPUGraph Reconstruction | —Unverified | 0 | 0 |
| Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer | Sep 17, 2024 | Graph Reconstruction | —Unverified | 0 | 0 |
| FairGen: Towards Fair Graph Generation | Mar 30, 2023 | Data AugmentationFairness | —Unverified | 0 | 0 |
| Empirical effect of graph embeddings on fraud detection/ risk mitigation | Mar 5, 2019 | Fraud DetectionGraph Embedding | —Unverified | 0 | 0 |
| Information Theoretic Optimal Learning of Gaussian Graphical Models | Mar 15, 2017 | Graph Reconstruction | —Unverified | 0 | 0 |
| ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction | May 23, 2025 | Graph Reconstruction | —Unverified | 0 | 0 |
| Learning Node Representations from Noisy Graph Structures | Dec 4, 2020 | Graph ReconstructionNode Classification | —Unverified | 0 | 0 |
