| HEAT: Holistic Edge Attention Transformer for Structured Reconstruction | Nov 30, 2021 | Edge ClassificationExtracting Buildings In Remote Sensing Images | CodeCode Available | 1 | 5 |
| Inference Attacks Against Graph Neural Networks | Oct 6, 2021 | Graph ClassificationGraph Embedding | CodeCode Available | 1 | 5 |
| Graph Parsing Networks | Feb 22, 2024 | Graph ClassificationGraph Reconstruction | CodeCode Available | 1 | 5 |
| Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language | May 2, 2022 | Graph ReconstructionSarcasm Detection | CodeCode Available | 0 | 5 |
| An open unified deep graph learning framework for discovering drug leads | Dec 6, 2022 | BenchmarkingDrug Discovery | CodeCode Available | 0 | 5 |
| A Robust and Generalized Framework for Adversarial Graph Embedding | May 22, 2021 | Generative Adversarial NetworkGraph Embedding | CodeCode Available | 0 | 5 |
| Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing | Sep 5, 2020 | Graph MiningGraph Reconstruction | CodeCode Available | 0 | 5 |
| Constraint-Free Structure Learning with Smooth Acyclic Orientations | Sep 15, 2023 | Graph Reconstruction | CodeCode Available | 0 | 5 |
| DynamicGEM: A Library for Dynamic Graph Embedding Methods | Nov 26, 2018 | Dynamic graph embeddingGeneral Classification | CodeCode Available | 0 | 5 |
| GLEE: Geometric Laplacian Eigenmap Embedding | May 23, 2019 | Graph EmbeddingGraph Reconstruction | CodeCode Available | 0 | 5 |
| GRAIN: Exact Graph Reconstruction from Gradients | Mar 3, 2025 | Federated LearningGraph Attention | CodeCode Available | 0 | 5 |
| Local2Global: Scaling global representation learning on graphs via local training | Jul 26, 2021 | Graph ReconstructionGraph Representation Learning | CodeCode Available | 0 | 5 |
| Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds | Jun 15, 2023 | Graph ReconstructionGraph Representation Learning | CodeCode Available | 0 | 5 |
| Normed Spaces for Graph Embedding | Dec 3, 2023 | Graph EmbeddingGraph Reconstruction | CodeCode Available | 0 | 5 |
| Private Graph Extraction via Feature Explanations | Jun 29, 2022 | BIG-bench Machine LearningGraph Reconstruction | CodeCode Available | 0 | 5 |
| 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 |
