GraphLand
PulseAugur coverage of GraphLand — every cluster mentioning GraphLand across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LoGIC method optimizes graph in-context learning for tabular foundation models
Researchers have developed LoGIC, a novel method for optimizing context construction in node-level graph in-context learning (ICL) using tabular foundation models. LoGIC addresses the quadratic scaling and memory bottle…
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Cluster Attention (CLATT) enhances graph machine learning models
Researchers have introduced Cluster Attention (CLATT), a novel approach to enhance graph machine learning. CLATT addresses limitations in Message Passing Neural Networks and Graph Transformers by dividing nodes into clu…
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GraphLand benchmark evaluates graph ML models on diverse industrial data
Researchers have introduced GraphLand, a new benchmark comprising 14 diverse graph datasets sourced from various industrial applications. This benchmark aims to address the limitations of existing graph ML evaluations, …