Abstract: This work explores the mining of frequent subgraphs within TQKGs (Temporal Quadruples Knowledge Graphs), introducing the TeKGS (Temporal Knowledge Graph Subgraph Mining Framework). The TeKGS ...
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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