Implications of Topological Imbalance for Representation Learning on
Biomedical Knowledge Graphs

Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

13 December 2021

Jian Tang

Papers citing "Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs"

5 / 5 papers shown

Title
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models J. Sardina John D. Kelleher Declan O’Sullivan 18 0 0 08 Feb 2024
Residual2Vec: Debiasing graph embedding with random graphs Sadamori Kojaku Jisung Yoon I. Constantino Yong-Yeol Ahn CML 35 23 0 14 Oct 2021
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers O. Engkvist Charles Tapley Hoyt William L. Hamilton 58 51 0 17 May 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali M. Berrendorf Charles Tapley Hoyt Laurent Vermue Sahand Sharifzadeh Volker Tresp Jens Lehmann 39 142 0 28 Jul 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020