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Fast anomaly detection despite the duplicates., , , and . WWW (Companion Volume), page 195-196. International World Wide Web Conferences Steering Committee / ACM, (2013)Graph Neural Networks with Heterophily., , , , , , and . CoRR, (2020)SURREAL: Subgraph Robust Representation Learning., , , and . Appl. Netw. Sci., 4 (1): 88:1-88:20 (2019)t-PINE: Tensor-based Predictable and Interpretable Node Embeddings., , , , and . CoRR, (2018)TimeCrunch: Interpretable Dynamic Graph Summarization., , , , and . KDD, page 1055-1064. ACM, (2015)Toward Understanding and Evaluating Structural Node Embeddings., , , and . ACM Trans. Knowl. Discov. Data, 16 (3): 58:1-58:32 (2022)Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation., , , , and . Proc. VLDB Endow., 15 (3): 465-477 (2021)Bridging Network Embedding and Graph Summarization., , , , , and . CoRR, (2018)Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms., , , and . IEEE Trans. Knowl. Data Eng., 36 (3): 1356-1370 (March 2024)Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective., , and . CoRR, (2023)