From 'Just Enough' to 'Well-Designed': Why Leapmotor T03 Can Outperform Wuling Hongguang MINI EV

Price-to-Performance Ratio is a Key Factor for Leapmotor's Success!
IEEE

Frequency Domain-Oriented Complex Graph Neural Networks for Graph Classification

Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
IEEE

Designing a Digital Twin Approach Using Time–Frequency-Space Modulation Graph Fourier Transform Network for Aeroengine Health Indicators

Abstract: The accurate prediction of control, status, and performance parameters is crucial for the safe and reliable operation of aircraft engines. Leveraging digital technology to construct digital ...
GitHub

ENHANCED MULTIMODAL EMOTION RECOGNITION IN CONVERSATIONS VIA CONTEXTUAL FILTERING AND MULTI-FREQUENCY GRAPH PROPAGATION

The raw data can be found at IEMOCAP and MELD. In our paper, we use pre-extracted features. The multimodal features (including RoBERTa-based and GloVe-based textual features) are available at here. We ...
GitHub

Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs

The code has been tested running under Python 3.8 with the following packages installed (along with their dependencies): numpy==1.19.5 scipy==1.5.4 pandas==1.1.5 torch==1.7.1 ...