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Meta-Path Learning for Multi-Relational Graph Neural Networks.

, , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 2. PMLR, (2023)

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A Simple Latent Variable Model for Graph Learning and Inference., , , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 26. PMLR, (2023)Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs., , , and . CoRR, (2024)Global Explainability of GNNs via Logic Combination of Learned Concepts., , , , and . ICLR, OpenReview.net, (2023)TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks., , , , and . PROFES, volume 13709 of Lecture Notes in Computer Science, page 464-479. Springer, (2022)Putting Context in Context: the Impact of Discussion Structure on Text Classification., , , , and . EACL (1), page 1793-1811. Association for Computational Linguistics, (2024)A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction., , , , and . CoRR, (2023)Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities., , , , , , , and . CoRR, (2023)An efficient procedure for mining egocentric temporal motifs., , , and . Data Min. Knowl. Discov., 36 (1): 355-378 (2022)Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets., , , , and . CoRR, (2022)Meta-Path Learning for Multi-Relational Graph Neural Networks., , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 2. PMLR, (2023)