Discover why researchers in high-energy physics rely on the GaGe RazorMax Express—an efficient, high-performance digitizer.

Objectives The central nervous system is a significant extraglandular target in primary Sjögren’s syndrome (pSS), often ...

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 ...

Abstract: In temporal graphs, time and topology are considered to be intertwined. As an evidence, it is observed that the vertices in more cohesive subgraphs have more frequent and more numerous ...

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

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 ...