7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2021
Scaling Up Graph Neural Networks Via Graph Coarsening
Zengfeng Huang, Shengzhong Zhang, Chong Xi +2
Scalability of graph neural networks remains one of the major challenges in graph machine learning. Since the representation of a node is computed by recursively aggregating and tr…
cs.LG2021
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Keli Zhang, Marcus Kalander, Min Zhou +2
Alarm root cause analysis is a significant component in the day-to-day telecommunication network maintenance, and it is critical for efficient and accurate fault localization and f…
cs.LG2020★ 7 cited
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks
Marcus Kalander, Min Zhou, Chengzhi Zhang +2
Telecommunication networks play a critical role in modern society. With the arrival of 5G networks, these systems are becoming even more diversified, integrated, and intelligent. T…