Graph Transformers

Artificial Intelligence Machine Learning

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

root February 2, 2024 0

The article presents Graph-Mamba, a model developed to improve long-range context modeling in graph networks. Traditional attention mechanisms used in Graph Transformers often fail to scale in large graphs due…

Artificial Intelligence Machine Learning

Towards Principled Graph Transformers

root January 20, 2024 0

The article ‘Towards Principled Graph Transformers’ discusses the expressive power of graph learning architectures, particularly the Edge Transformer, within the Weisfeiler Leman (k-WL) hierarchy. The study highlights the Edge Transformer’s…

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Graph Transformers

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