Abstract: Graph neural networks (GNNs) have exhibited superior performance in various classification tasks on graph-structured data. However, they encounter the potential vulnerability from the link ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Dave Feit is counting down the days until the start of the 2025 season by naming the best Husker to wear each uniform number, as well as one of his personal favorites at that number. For more ...

Abstract: By modeling the spatiotemporal data of the power grid, it is possible to better understand its operational status, identify potential issues and risks, and take timely measures to adjust and ...

What is grid() in Tkinter? Okay, imagine your app is like a spreadsheet. You’ve got rows and columns. With grid(), you can tell Python: “Hey, I want this button in row 1, column 0.” And boom! It lands ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

We’re using Cinematrix’s birthday as an occasion to publish six grids we felt were too difficult to run during the year. You can find all the Cinemasochist grids, with a bit of context for each, here.

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Neo4j is the world's leading graph database, with native graph storage and processing.. Neo4j is the world's leading graph database, with native graph storage and processing.. Neo4j is the world's ...

The PyGSP2 is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists ...