Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static…
Graph Neural Networks Need Cluster-Normalize-Activate Modulesby Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh…
Pathwise optimization for bridge-type estimators and its applicationsby Alessandro De Gregorio, Francesco IafrateFirst submitted to…
Space to Policy: Scalable Brick Kiln Detection and Automatic Compliance Monitoring with Geospatial Databy Zeel…
Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomicsby Mingcheng Qu, Yuncong Wu, Donglin Di,…
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotationby Weihua Wang, Qiuyu Liang, Feilong Bao, Guanglai…
Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learningby Shicheng…
Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorizationby Wenlong Lyu, Yuheng JiaFirst submitted to…
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecastingby Nikolaos Pavlidis, Vasileios…
HyperFLINT: Hypernetwork-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualizationby Hamid Gadirov, Qi Wu,…