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GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks., , , , , , , , and . LoG, volume 198 of Proceedings of Machine Learning Research, page 44. PMLR, (2022)Cross-Modal Retrieval: A Review of Methodologies, Datasets, and Future Perspectives., , , and . IEEE Access, (2024)Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks., , , , , , , , and . CoRR, (2020)xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs., , , , , , , , and . CoRR, (2020)Differential Flatness-Based Trajectory Planning for Autonomous Vehicles., , , , , , , , , and 1 other author(s). CoRR, (2022)Collective Relational Inference for learning physics-consistent heterogeneous particle interactions., , and . CoRR, (2023)Learning Physics-Consistent Particle Interactions., , and . CoRR, (2022)Learning Physics-Consistent Material Behavior Without Prior Knowledge., , , and . CoRR, (2024)Benchtemp: A General Benchmark for Evaluating Temporal Graph Neural Networks., , , , , , , , , and . ICDE, page 4044-4057. IEEE, (2024)Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture., , , , and . CoRR, (2021)