research
∙
01/30/2023
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval
A recent advancement in the domain of biomedical Entity Linking is the d...
share
research
∙
12/02/2022
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations
In this paper we generalize single-relation pseudo-Riemannian graph embe...
research
∙
02/15/2022
Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies
Identifying phenotypes plays an important role in furthering our underst...
research
∙
06/16/2021
Directed Graph Embeddings in Pseudo-Riemannian Manifolds
The inductive biases of graph representation learning algorithms are oft...
research
∙
06/15/2021
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Learning meaningful representations of data that can address challenges ...
research
∙
12/01/2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
In this work, we provide a new formulation for Graph Convolutional Neura...
research
∙
09/24/2013
