Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...
Ellie joined UNILAD in 2024, specialising in SEO and trending content. She moved from Reach PLC where she worked as a senior journalist at the UK’s largest regional news title, the Manchester Evening ...
The methodology presented here is described in depth in Kalirad, A., & Sommer, R. J. (2025). Ecological graph theory: Simulating competition and coexistence on graphs ...
Abstract: Multiplex Graph Contrastive Learning (MGCL) has attracted significant attention. However, existing MGCL methods often struggle with suboptimal graph structures and fail to fully capture ...
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