1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
Tuğrul Hasan Karabulut, İnci M. Baytaş
Over-squashing is a challenge in training graph neural networks for tasks involving long-range dependencies. In such tasks, a GNN's receptive field should be large enough to enable…
cs.LG2025★ 1 cited
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut, İnci M. Baytaş
Graph Neural Networks (GNNs) set the state-of-the-art in representation learning for graph-structured data. They are used in many domains, from online social networks to complex mo…