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Distribution of Node Embeddings as Multiresolution Features for Graphs.

, , and . ICDM, page 289-298. IEEE, (2019)

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Toward Understanding and Evaluating Structural Node Embeddings., , , and . ACM Trans. Knowl. Discov. Data, 16 (3): 58:1-58:32 (2022)Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification., , , , and . CoRR, (2022)Distribution of Node Embeddings as Multiresolution Features for Graphs., , and . ICDM, page 289-298. IEEE, (2019)Smart Roles: Inferring Professional Roles in Email Networks., , , , , , and . KDD, page 2923-2933. ACM, (2019)Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs., , , , , and . NeurIPS, (2020)Heterophily and Graph Neural Networks: Past, Present and Future., , , , , and . IEEE Data Eng. Bull., 46 (2): 12-34 (2023)HashAlign: Hash-Based Alignment of Multiple Graphs., , , , and . PAKDD (3), volume 10939 of Lecture Notes in Computer Science, page 726-739. Springer, (2018)Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks., , , , and . CoRR, (2023)Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks., , , , and . CoRR, (2024)Structural Node Embedding in Signed Social Networks: Finding Online Misbehavior at Multiple Scales., , and . COMPLEX NETWORKS (2), volume 944 of Studies in Computational Intelligence, page 3-14. Springer, (2020)