Robust monitoring and evaluation give policymakers the clarity they need to refine programmes and measure real impact,” said ...
A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...
In recent years, significant advancements have been made in contrastive self-supervised learning for graphs. However, most of the existing methods start from the feature level and ignore the ...
Abstract: Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning ...
Introduction: Predicting interactions between microRNAs (miRNAs) and messenger RNAs (mRNAs) is crucial for understanding gene expression regulation mechanisms and their roles in diseases. Existing ...
30 June 2025 - The Fourth International Conference on Financing for Development (FFD4) opened today in Sevilla with the adoption of the Sevilla Commitment or Compromiso de Sevilla, an ...
Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. In this paper, we propose an end-to-end framework ...
As the field of representation learning grows, there has been a proliferation of different loss functions to solve different classes of problems. We introduce a single information-theoretic equation ...
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