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20212025
most citedEfficient Non-Sampling Knowledge Graph Embedding

32 citations · 50 across the 11 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.LG2021

Density-Based Clustering with Kernel Diffusion

Chao Zheng, Yingjie Chen, Chong Chen +2

Finding a suitable density function is essential for density-based clustering algorithms such as DBSCAN and DPC. A naive density corresponding to the indicator function of a unit $…

cs.IR2021★ 8 cited

ARGO: Modeling Heterogeneity in E-commerce Recommendation

Daqing Wu, Xiao Luo, Zeyu Ma +3

Nowadays, E-commerce is increasingly integrated into our daily lives. Meanwhile, shopping process has also changed incrementally from one behavior (purchase) to multiple behaviors…

cs.IR2021★ 3 cited

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

Xiao Luo, Daqing Wu, Yiyang Gu +7

Recent years have witnessed the explosive growth of interaction behaviors in multimedia information systems, where multi-behavior recommender systems have received increasing atten…

cs.CV2021★ 4 cited

Discriminative-Generative Dual Memory Video Anomaly Detection

Xin Guo, Zhongming Jin, Chong Chen +5

Recently, people tried to use a few anomalies for video anomaly detection (VAD) instead of only normal data during the training process. A side effect of data imbalance occurs when…

cs.CV2021

Graph Contrastive Clustering

Huasong Zhong, Jianlong Wu, Chong Chen +5

Recently, some contrastive learning methods have been proposed to simultaneously learn representations and clustering assignments, achieving significant improvements. However, thes…

cs.AI2021★ 32 cited

Efficient Non-Sampling Knowledge Graph Embedding

Zelong Li, Jianchao Ji, Zuohui Fu +4

Knowledge Graph (KG) is a flexible structure that is able to describe the complex relationship between data entities. Currently, most KG embedding models are trained based on negat…