Abstract: Dynamic graph neural networks (DGNNs) have emerged as a leading paradigm for learning from dynamic graphs, which are commonly used to model real-world systems and applications. However, due ...

Abstract: Graphs play an increasingly important role in various big data applications. However, existing graph data structures cannot simultaneously address the performance bottlenecks caused by the ...

Approximately 18% of respondents indicated that their farm operations were better off in March than they were a year ago. Looking ahead 12 months, 18% expected worse financial performance, compared to ...