5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 5 cited
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu, Mengyu Li, Ximing Li +5
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies hav…
cs.CL2023★ 2 cited
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Yonghao Liu, Di Liang, Fang Fang +3
Knowledge graphs (KGs) have received increasing attention due to its wide applications on natural language processing. However, its use case on temporal question answering (QA) has…