AceMap: Knowledge Discovery through Academic Graph

arXiv:2403.02576v1 Announce Type: cross
Abstract: The exponential growth of scientific literature requires effective management and extraction of valuable insights. While existing scientific search engines excel at delivering search results based on relational databases, they often neglect the analysis of collaborations between scientific entities and the evolution of ideas, as well as the in-depth analysis of content within scientific publications. The representation of heterogeneous graphs and the effective measurement, analysis, and mining of such graphs pose significant challenges. To address these …

academic arxiv cs.dl cs.lg cs.si discovery graph knowledge through type