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A scalable attribute-aware network embedding system., , , , , and . Neurocomputing, (2019)MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts., , , , , , and . AAAI, page 16067-16075. AAAI Press, (2024)Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks., , and . CIKM, page 2137-2140. ACM, (2019)Class-Imbalanced Graph Learning without Class Rebalancing., , , , , , , , , and . ICML, OpenReview.net, (2024)Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk., , , , and . AAAI, page 4973-4980. AAAI Press, (2020)Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction., , , , , , and . KDD, page 1224-1232. ACM, (2022)Ensuring User-side Fairness in Dynamic Recommender Systems., , , , , , , and . CoRR, (2023)IMBENS: Ensemble Class-imbalanced Learning in Python., , , , , , , , , and 3 other author(s). CoRR, (2021)QUADO: An autonomous recharge system for quadcopter., , , , and . CIS/RAM, page 7-12. IEEE, (2017)UADB: Unsupervised Anomaly Detection Booster., , , , , , , , and . ICDE, page 2593-2606. IEEE, (2023)