Cong, Weilin

1. Do We Really Need Complicated Model Architectures For Temporal Networks?
   2023/02/22 by Weilin Cong, Si Zhang, Cong, Weilin +13 · 16 citations
   Computer Science · Physics and Astronomy · Social Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG)
2. On Provable Benefits of Depth in Training Graph Convolutional Networks
   2021/10/28 by Weilin Cong, Morteza Ramezani, Cong, Weilin +3 · 3 citations
   Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG)
3. Learning Graph Quantized Tokenizers
   2024/10/17 by Wang, Limei, Kaveh Hassani, Hassani, Kaveh +16 · 6 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
4. Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
   2020/06/24 by Cong, Weilin, Forsati, Rana, Kandemir, Mahmut +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. BeMap: Balanced Message Passing for Fair Graph Neural Network
   2023/06/07 by Lin, Xiao, Kang, Jian, Cong, Weilin +1 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
6. On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction
   2021/03/03 by Weilin Cong, Morteza Ramezani, Cong, Weilin +3 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques
7. On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method
   2024/02/26 by Weilin Cong, Cong, Weilin, Jian Kang +5 · 1 citation
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Scheduling and Timetabling Solutions