Search Results for author:
Found 4 papers, 1 papers with code
GraphPub: Generation of Differential Privacy Graph with High Availability
In recent years, with the rapid development of graph neural networks (GNN), more and more graph datasets have been published for GNN tasks.
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
Precipitation nowcasting based on radar data plays a crucial role in extreme weather prediction and has broad implications for disaster management.
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
Data-driven weather forecast based on machine learning (ML) has experienced rapid development and demonstrated superior performance in the global medium-range forecast compared to traditional physics-based dynamical models.
Is 3-(F)WL Enough to Distinguish All 3D Graphs?
However, whether the isomorphic discrimination power of k-WL is strictly increasing for more complex 3D graphs, or whether there exists k that can discriminate all 3D graphs, remains unexplored.
