Abstract: Dynamic graph storage and analytics have garnered increasing attention and found widespread application across various domains. However, real-world graphs own the characteristics of an ...
Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...
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