| Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds | Jun 15, 2023 | Graph ReconstructionGraph Representation Learning | CodeCode Available | 0 | 5 |
| Private Graph Extraction via Feature Explanations | Jun 29, 2022 | BIG-bench Machine LearningGraph Reconstruction | CodeCode Available | 0 | 5 |
| DynamicGEM: A Library for Dynamic Graph Embedding Methods | Nov 26, 2018 | Dynamic graph embeddingGeneral Classification | CodeCode Available | 0 | 5 |
| An open unified deep graph learning framework for discovering drug leads | Dec 6, 2022 | BenchmarkingDrug Discovery | CodeCode Available | 0 | 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 |
| Normed Spaces for Graph Embedding | Dec 3, 2023 | Graph EmbeddingGraph Reconstruction | CodeCode Available | 0 | 5 |
| Disentangling homophily, community structure and triadic closure in networks | Jan 7, 2021 | Community DetectionGraph Reconstruction | 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 |
| GRAIN: Exact Graph Reconstruction from Gradients | Mar 3, 2025 | Federated LearningGraph Attention | CodeCode Available | 0 | 5 |
| GLEE: Geometric Laplacian Eigenmap Embedding | May 23, 2019 | Graph EmbeddingGraph Reconstruction | CodeCode Available | 0 | 5 |
