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AutoGSP: Automated graph-level representation learning via subgraph detection and propagation deceleration
M Nie, D Chen, D Wang, H Chen - Expert Systems with Applications, 2025 - Elsevier
Graph neural networks have demonstrated impressive performance across various learning
tasks involving graph-structured data. However, effectively capturing and leveraging the …
tasks involving graph-structured data. However, effectively capturing and leveraging the …
[HTML][HTML] SpaceRL—A reinforcement learning-based knowledge graph driver
Abstract Knowledge Graphs are powerful data structures used by large IT companies and
the scientific community alike. They aid in the representation of related information by means …
the scientific community alike. They aid in the representation of related information by means …