59 citations · 71 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Inductive Linear Probing for Few-shot Node Classification
Hirthik Mathavan, Zhen Tan, Nivedh Mudiam +1
Meta-learning has emerged as a powerful training strategy for few-shot node classification, demonstrating its effectiveness in the transductive setting. However, the existing liter…
cs.LG2022★ 59 cited
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu, Kaize Ding, Huan Liu +1
Most existing deep learning models are trained based on the closed-world assumption, where the test data is assumed to be drawn i.i.d. from the same distribution as the training da…
cs.AI2022★ 12 cited
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
Long Yu, Zhicong Luo, Huanyong Liu +3
Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out. Although many translation-based…