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| A Graph Neural Network Framework for Causal Inference in Brain Networks | Oct 14, 2020 | Causal InferenceGraph Neural Network | CodeCode Available | 1 | 5 |
| Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction | Apr 11, 2023 | Autonomous DrivingGraph Neural Network | CodeCode Available | 1 | 5 |
| Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks | Jan 30, 2023 | Ad-Hoc Information RetrievalArticles | CodeCode Available | 1 | 5 |
| GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training | Jun 17, 2020 | Contrastive LearningGeneral Classification | CodeCode Available | 1 | 5 |
| A federated graph neural network framework for privacy-preserving personalization | Jun 2, 2022 | Federated LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| Graph Neural Prompting with Large Language Models | Sep 27, 2023 | Graph Neural NetworkKnowledge Graphs | CodeCode Available | 1 | 5 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 | 5 |
| Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search | Jul 13, 2022 | feature selectionGraph Classification | CodeCode Available | 1 | 5 |
