Abstract: Dynamic graphs, characterized by rapid changes in their topological structure through adding or deleting edges or vertices, pose significant challenges for algorithm design. This paper ...
Abstract: The message-passing paradigm has served as the foundation of graph neural networks (GNNs) for years, making them achieve great success in a wide range of applications. Despite its elegance, ...
This project is a Transformer-based graph representation learning framework for pan-cancer gene identifications. It applies to both homogeneous networks (PPI network)and heterogeneous networks. TREE ...
The Signal Visualizer tab will display in the bottom dock region. The Signal Debugger tab will display as a new panel in the Debugger dock. The Signal Debugger connects to a running scene instance to ...
The upcoming Conflux 3.0 upgrade, scheduled to launch on August 31, promises to unlock parallel processing capabilities, boosting transaction throughput to 15,000 per second—surpassing rivals such as ...