← Search

Qiankun Zheng

2 accepted papers

2025

CGEDN: Approximation of Graph Edit Distance with Path Generation via Learning Node Matching

ICASSP 2025accepted

Graph Edit Distance (GED) is a classical graph similarity metric. Since exact GED computation is NP-hard, existing GNN-based methods try to approximate GED in polynomial time. However, they still lack support for edge labels or the ability to generate an edit path. To address these limitations, we p…

Cited by 0SourceScholar
2023

Visual Coherence Loss for Coherent and Visually Grounded Story Generation

ACL 2023findings

Local coherence is essential for long-form text generation models. We identify two important aspects of local coherence within the visual storytelling task: (1) the model needs to represent re-occurrences of characters within the image sequence in order to mention them correctly in the story; (2) ch…