2 papers
cs.AI2021
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
Dora Jambor, Komal Teru, Joelle Pineau +1
Real-world knowledge graphs are often characterized by low-frequency relations - a challenge that has prompted an increasing interest in few-shot link prediction methods. These met…
cs.IR2019
On a scalable problem transformation method for multi-label learning
Dora Jambor, Peng Yu
Binary relevance is a simple approach to solve multi-label learning problems where an independent binary classifier is built per each label. A common challenge with this in real-wo…