Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs

arXiv:2306.05108v2 Announce Type: replace
Abstract: Graphs are widely used to encapsulate a variety of data formats, but real-world networks often involve complex node relations beyond only being pairwise. While hypergraphs and hierarchical graphs have been developed and employed to account for the complex node relations, they cannot fully represent these complexities in practice. Additionally, though many Graph Neural Networks (GNNs) have been proposed for representation learning on higher-order graphs, they are usually only evaluated on simple graph datasets. Therefore, there …

arxiv benchmarks cs.lg cs.si datasets graph graph representation graphs hybrid representation type