Search Results for author: Xiangle Cheng

Found 7 papers, 3 papers with code

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

1 code implementation29 Dec 2021 José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros

Graph neural networks (GNN) have shown outstanding applications in many fields where data is fundamentally represented as graphs (e. g., chemistry, biology, recommendation systems).

Recommendation Systems

Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks

no code implementations23 Dec 2021 Xiangle Cheng, James He, Shihan Xiao, Yingxue Zhang, Zhitang Chen, Pascal Poupart, FengLin Li

Machine learning is gaining growing momentum in various recent models for the dynamic analysis of information flows in data communications networks.

Self-Supervised Learning

Is Machine Learning Ready for Traffic Engineering Optimization?

1 code implementation3 Sep 2021 Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

In our evaluation, we compare our MARL+GNN system with DEFO, a network optimizer based on Constraint Programming that represents the state of the art in TE.

Multi-agent Reinforcement Learning

Flow Neural Network and Flow-Structured Data Representation

no code implementations1 Jan 2021 Xiangle Cheng, Yuchen He, Feifei Long, Shihan Xiao, FengLin Li

Traffic flows are the most fundamental components in a communication networking system.

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