most citedAnomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

486 citations · 544 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 1 cited

Path-aware Siamese Graph Neural Network for Link Prediction

Jingsong Lv, Zhao Li, Hongyang Chen +2

In this paper, we propose a Path-aware Siamese Graph neural network(PSG) for link prediction tasks. First, PSG captures both nodes and edge features for given two nodes, namely the…

cs.LG2022★ 56 cited

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions

Sheng Zhou, Hongjia Xu, Zhuonan Zheng +7

Clustering is a fundamental machine learning task which has been widely studied in the literature. Classic clustering methods follow the assumption that data are represented as fea…

cs.IR2022

Community Trend Prediction on Heterogeneous Graph in E-commerce

Jiahao Yuan, Zhao Li, Pengcheng Zou +4

In online shopping, ever-changing fashion trends make merchants need to prepare more differentiated products to meet the diversified demands, and e-commerce platforms need to captu…

cs.LG2021★ 1 cited

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

Xing Wang, Juan Zhao, Lin Zhu +5

Mobile network traffic forecasting is one of the key functions in daily network operation. A commercial mobile network is large, heterogeneous, complex and dynamic. These intrinsic…

cs.LG2021★ 486 cited

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Yixin Liu, Zhao Li, Shirui Pan +3

Anomaly detection on attributed networks attracts considerable research interests due to wide applications of attributed networks in modeling a wide range of complex systems. Recen…