2 papers
cs.LG2024
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
Jinhui Yuan, Shan Lu, Peibo Duan +1
Recently, heterogeneous graph neural networks (HGNNs) have achieved impressive success in representation learning by capturing long-range dependencies and heterogeneity at the node…
cs.AI2024
Type-based Neural Link Prediction Adapter for Complex Query Answering
Lingning Song, Yi Zu, Shan Lu +1
Answering complex logical queries on incomplete knowledge graphs (KGs) is a fundamental and challenging task in multi-hop reasoning. Recent work defines this task as an end-to-end…