3 citations · 3 across the 4 of their papers we have counts for
4 papers
Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification
Ravi Patel, Angus Brayne, Rogier Hintzen +3
Language models hold incredible promise for enabling scientific discovery by synthesizing massive research corpora. Many complex scientific research questions have multiple plausib…
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval
Maciej Wiatrak, Eirini Arvaniti, Angus Brayne +2
A recent advancement in the domain of biomedical Entity Linking is the development of powerful two-stage algorithms, an initial candidate retrieval stage that generates a shortlist…
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations
Saee Paliwal, Angus Brayne, Benedek Fabian +2
In this paper we generalize single-relation pseudo-Riemannian graph embedding models to multi-relational networks, and show that the typical approach of encoding relations as manif…
Directed Graph Embeddings in Pseudo-Riemannian Manifolds
Aaron Sim, Maciej Wiatrak, Angus Brayne +2
The inductive biases of graph representation learning algorithms are often encoded in the background geometry of their embedding space. In this paper, we show that general directed…