Abstract: Graph Signal Processing (GSP) is an emerging research field that extends the concepts of digital signal processing to graphs. GSP has numerous applications in different areas such as sensor ...
Abstract: Graph Neural Networks (GNNs) have recently been utilized to build Collaborative Filtering (CF) models to predict user preferences based on historical user-item interactions. However, there ...
The Time Warp Edit Distance (TWED) is a distance measure for discrete time series matching with time 'elasticity'. In comparison to other distance measures, (e.g. DTW (Dynamic Time Warping) or LCS ...
Who are the adults in children’s lives? By The Learning Network Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning ...
TGM is a research library for temporal graph learning, designed to accelerate training on dynamic graphs while enabling rapid prototyping of new methods. It provides a unified abstraction for both ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback