Výsledky vyhledávání - "Zhang, QingYue"

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Minimal Clifford Shadow Estimation by Mutually Unbiased Bases

Autor: Zhang, Qingyue, Liu, Qing, Zhou, You

Predicting properties of large-scale quantum systems is crucial for the development of quantum science and technology. Shadow estimation is an efficient method for this task based on randomized measurements, where many-qubit random Clifford circuits

Externí odkaz: http://arxiv.org/abs/2310.18749

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GADY: Unsupervised Anomaly Detection on Dynamic Graphs

Autor: Lou, Shiqi, Zhang, Qingyue, Yang, Shujie, Tian, Yuyang, Tan, Zhaoxuan, Luo, Minnan

Anomaly detection on dynamic graphs refers to detecting entities whose behaviors obviously deviate from the norms observed within graphs and their temporal information. This field has drawn increasing attention due to its application in finance, netw

Externí odkaz: http://arxiv.org/abs/2310.16376

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KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion

Autor: Tan, Zhaoxuan, Chen, Zilong, Feng, Shangbin, Zhang, Qingyue, Zheng, Qinghua, Li, Jundong, Luo, Minnan

Knowledge Graph Embeddings (KGE) aim to map entities and relations to low dimensional spaces and have become the \textit{de-facto} standard for knowledge graph completion. Most existing KGE methods suffer from the sparsity challenge, where it is hard

Externí odkaz: http://arxiv.org/abs/2208.07622

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TwiBot-22: Towards Graph-Based Twitter Bot Detection

Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse. State-of-the-art bot detection methods generally leverage the graph stru

Externí odkaz: http://arxiv.org/abs/2206.04564

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