| Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting | Jun 18, 2022 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 |
| CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling | Feb 28, 2023 | Atomic ForcesGraph Neural Network | CodeCode Available | 2 |
| DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly | Feb 29, 2024 | DenoisingGraph Neural Network | CodeCode Available | 2 |
| Rethinking Graph Neural Networks for Anomaly Detection | May 31, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 |
| Relational Graph Transformer | May 16, 2025 | Graph Neural Network | CodeCode Available | 2 |
| ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment | Feb 16, 2024 | Entity AlignmentGraph Neural Network | CodeCode Available | 2 |
| Generating 3D Molecules for Target Protein Binding | Apr 19, 2022 | Drug DiscoveryGraph Neural Network | CodeCode Available | 2 |
| Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data | Oct 16, 2024 | Decision MakingEarth Observation | CodeCode Available | 2 |
| Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network | Mar 3, 2024 | Binary ClassificationContrastive Learning | CodeCode Available | 1 |
| Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning | Nov 25, 2023 | Graph Neural NetworkKnowledge Graphs | CodeCode Available | 1 |
