Two harmful gene variants can restore function when combined, study reveals

Sometimes, in genetics, two wrongs do make a right. A research team has recently shown that two harmful genetic variants, ...
IEEE

Multiview Graph Learning With Consensus Graph

Abstract: Graph topology inference is a significant task in many application domains. Existing approaches are mostly limited to learning a single graph assuming that the observed data is homogeneous.
IEEE

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
GitHub

Variation graphs

This page is intended to explain variation graphs to non-computer scientists and people new to the field. Also see our explainer videos. A pangenome is a collection of genome sequences and the ...
GitHub

LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision

This follow-up work demonstrates applying LASER for scene-graph generation in embodied agent environments. Answer: Ensure your CUDA Tool kit and your pytorch has the same version. Take 12.4 as an ...
Frontiers

Application of Game-based Learning of Mathematics in Primary School Grade One——Taking a Primary School in Beijing as an Example

The final, formatted version of the article will be published soon. In primary school mathematics teaching, game-based learning can assist teachers in enhancing classroom efficiency, diversifying ...