| DynamicGEM: A Library for Dynamic Graph Embedding Methods | Nov 26, 2018 | Dynamic graph embeddingGeneral Classification | CodeCode Available | 0 |
| Local2Global: Scaling global representation learning on graphs via local training | Jul 26, 2021 | Graph ReconstructionGraph Representation Learning | CodeCode Available | 0 |
| Constraint-Free Structure Learning with Smooth Acyclic Orientations | Sep 15, 2023 | Graph Reconstruction | CodeCode Available | 0 |
| A Robust and Generalized Framework for Adversarial Graph Embedding | May 22, 2021 | Generative Adversarial NetworkGraph Embedding | CodeCode Available | 0 |
| Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds | Jun 15, 2023 | Graph ReconstructionGraph Representation Learning | CodeCode Available | 0 |
| Private Graph Extraction via Feature Explanations | Jun 29, 2022 | BIG-bench Machine LearningGraph Reconstruction | CodeCode Available | 0 |
| GRAIN: Exact Graph Reconstruction from Gradients | Mar 3, 2025 | Federated LearningGraph Attention | CodeCode Available | 0 |
| Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing | Sep 5, 2020 | Graph MiningGraph Reconstruction | CodeCode Available | 0 |
