FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning by Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu, Tianrui Li

“…In the client, we present a multi-granularity dynamic knowledge graph embedding model that improves the capability of dynamic knowledge graph embedding representation by focusing on multi-granularity temporal facts from the perspective of knowledge utilization. …”
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Multi-Granularity User Anomalous Behavior Detection by Wenying Feng, Yu Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu

“…To address these challenges, this paper presents a novel approach for insider threat detection, leveraging machine learning techniques to conduct multi-granularity anomaly detection. …”
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An LLM-guided platform for multi-granular collection and management of data provenance by Luca Gregori, Pasquale Leonardo Lazzaro, Marialaura Lazzaro, Paolo Missier, Riccardo Torlone

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A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

“…To address the problem of concept drift, this paper presents a multi-granularity features representation and dimensionality reduction network for Website Fingerprinting, referred to as LRCT. …”
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A Three-Granularity Pose Estimation Framework for Multi-Type High-Voltage Transmission Towers Using Part Affinity Fields (PAFs) by Yaoran Huo, Xu Dai, Zhenyu Tang, Yuhao Xiao, Yupeng Zhang, Xia Fang

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MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning by Ao Zou, Wenning Hao, Dawei Jin, Gang Chen, Feiyan Sun

“…This paper presents MoCoUTRL: a Momentum Contrastive Framework for Unsupervised Text Representation Learning. …”
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