Abstract: Graph Neural Networks (GNNs) have been generalized to process the heterogeneous graphs by various approaches. Unfortunately, these approaches usually model the heterogeneity via various ...

This is the official implementation used in the paper Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing (arXiv), which has been accepted for ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

09:38, Tue, Aug 26, 2025 Updated: 09:39, Tue, Aug 26, 2025 Shocking new graphs have revealed the extent of Labour's popularity crisis as the party and its leader fail to tackle the economy and ...

Information-technology departments within corporations deal with a lot of busy work—from answering tech support questions to giving employees access to laptops and phones. That’s exactly why one ...

Abstract: In the past years, many signal processing operations have been successfully adapted to the graph setting. One elegant and effective approach is to exploit the eigendecomposition of a graph ...