Abstract: Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ...

This paper addresses the challenging task of attributed graph clustering, and presents a new deep attributed graph clustering approach called Global and Local Topology-Aware Contrastive Graph ...

Inferring road graphs from satellite imagery is a challenging computer vision task. Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which predict whether each ...

1 Companies subscribing to the Association of the British Pharmaceutical Industry (ABPI) Code report research and non-research payments on the online platform called Disclosure UK. Companies define ...

Research conducted by Facts4EU showed that the previous Erasmus+ exchange was a one-way street when it came to migration flows. Erasmus+ was used by only 9,993 UK students in the pre-Covid year of ...

Responding to the news, Richard Torbett, ABPI Chief Executive said: “We thank the government for its continued efforts that have led to this essential first-step agreement with the US. “Although this ...

The PMCPA, the self-regulatory body that enforces the ABPI’s code of practice, is auditing the culture, governance and compliance framework at Moderna. The audit was triggered by a complaint ...

The UK government has announced a new free trade agreement with India. The ABPI is disappointed that the deal does not appear to address longstanding industry concerns about intellectual property ...

Trade group the Association of the British Pharmaceutical Industry (ABPI) has spoken out against a new free trade agreement signed by the UK government with India. The ABPI has expressed ...

These graphs explain what has happened and point to a complex picture of what has gone right and wrong with the economy over the last three years. Milk, bread, chicken, fruit, eggs, cheese ...

Markov Affinity-based Graph Imputation of Cells (MAGIC) is an algorithm for denoising high-dimensional data most commonly applied to single-cell RNA sequencing data. MAGIC learns the manifold data, ...