15 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Graph Transformers: A Survey
Ahsan Shehzad, Feng Xia, Shagufta Abid +4
Graph transformers are a recent advancement in machine learning, offering a new class of neural network models for graph-structured data. The synergy between transformers and graph…
cs.AI2024★ 15 cited
Deep Outdated Fact Detection in Knowledge Graphs
Huiling Tu, Shuo Yu, Vidya Saikrishna +2
Knowledge graphs (KGs) have garnered significant attention for their vast potential across diverse domains. However, the issue of outdated facts poses a challenge to KGs, affecting…
cs.CL2024★ 2 cited
EMBRE: Entity-aware Masking for Biomedical Relation Extraction
Mingjie Li, Karin Verspoor
Information extraction techniques, including named entity recognition (NER) and relation extraction (RE), are crucial in many domains to support making sense of vast amounts of uns…