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Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction.

, , , , , , and . KDD, page 1224-1232. ACM, (2022)

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Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction., , , , , , and . KDD, page 1224-1232. ACM, (2022)Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk., , , , and . AAAI, page 4973-4980. AAAI Press, (2020)MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts., , , , , , and . AAAI, page 16067-16075. AAAI Press, (2024)A scalable attribute-aware network embedding system., , , , , and . Neurocomputing, (2019)Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks., , and . CIKM, page 2137-2140. ACM, (2019)UADB: Unsupervised Anomaly Detection Booster., , , , , , , , and . ICDE, page 2593-2606. IEEE, (2023)Imbalance-Aware Uplift Modeling for Observational Data., , , , , , , , , and . AAAI, page 6313-6321. AAAI Press, (2022)Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning., , , , , , , and . AACL/IJCNLP (1), page 240-253. Association for Computational Linguistics, (2022)MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler., , , , , and . NeurIPS, (2020)QUADO: An autonomous recharge system for quadcopter., , , , and . CIS/RAM, page 7-12. IEEE, (2017)