12 citations · 15 across the 6 of their papers we have counts for
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cs.AI2024★ 1 cited
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin, Xueming Yan, Shiqing Liu +1
Graph neural networks (GNNs) have emerged as a powerful tool for solving combinatorial optimization problems (COPs), exhibiting state-of-the-art performance in both graph-structure…
cs.LG2024
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
Xueming Yan, Ziqi Wang, Yaochu Jin
Federated multi-view clustering offers the potential to develop a global clustering model using data distributed across multiple devices. However, current methods face challenges d…
cs.NE2024★ 2 cited
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
Xueming Yan, Yaochu Jin
Evolutionary algorithms have been successful in solving multi-objective optimization problems (MOPs). However, as a class of population-based search methodology, evolutionary algor…