GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study 事件

GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study arXiv:2605.28643v1 Announce Type: new Abstract: Methods to represent literary texts as graphs or sequences of graphs mainly focus on representing character interactions, and often overlook another crucial aspect: the textual context in which characters interact. We introduce Dynamic Heterogeneous Character Networks (DHCNs), which organize long novels into temporally localized heterogeneous graphs that