Summary of Catgnn: Cost-efficient and Scalable Distributed Training For Graph Neural Networks, by Xin Huang et al.
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networksby Xin Huang, Weipeng Zhuo, Minh…
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networksby Xin Huang, Weipeng Zhuo, Minh…
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networksby Mengjie Zhao,…
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problemby Yimeng Min,…
A Review of Graph Neural Networks in Epidemic Modelingby Zewen Liu, Guancheng Wan, B. Aditya…
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecastingby Mandani Ntekouli, Gerasimos Spanakis,…
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigmby Chunhang Zheng, Kechao CaiFirst submitted…
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metricsby Jane…
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Networkby Yilun Zheng, Jiahao Xu, Lihui ChenFirst submitted…
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classificationby Hanxuan Yang, Zhaoxin Yu, Qingchao…
EL-MLFFs: Ensemble Learning of Machine Leaning Force Fieldsby Bangchen Yin, Yue Yin, Yuda W. Tang,…