partition transparencygraph-centric algorithmsvertex-centric algorithmsGraph computations often have to be conducted in parallel on partitioned graphs. The choice of graph partitioning strategies, however, has strong impact on the design of graph computation algorithms. A graph algorithm developed under ...
Thegraphqlandgraph-algorithmsplugins seem to be quite out of date. This is a bug in the docker image. Either these aren't supported in 5.x or the image is checking the wrong place for compatibility information. TLDR: GenAI is supposed to be missing in community edition, but the error me...
A Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks. PADL 2017. paper Alex Nowak, Soledad Villar, Afonso S. Bandeira, Joan Bruna. Attention Solves Your TSP, Approximately. 2018. paper Wouter Kool, Herke van Hoof, Max Welling. Learning to Solve NP-Complete Problems...
We analyzed more than 20k advertisements in real estate websites to try to find underpriced houses with Graphext's predictive algorithms. Along the way we looked into the relationships between prices and factors such as education level or location index to try to find insights and patterns in th...
In this research, focused on development of algorithms for healthcare applications, we acknowledge the profound ethical implications and potential impacts on patient outcomes. While the technical evaluation of GLLA demonstrates its effectiveness, we recognize the crucial need to assess and mitigate potenti...
The second application is an image filter application that applies different image filtering algorithms. This paper is organized as follows: Section 2 presents an overview of the related work on offloading methods and offloading decisions. The offloading approaches are summarized in Section 3. Section ...
Learning Steady-States of Iterative Algorithms over Graphs. ICML 2018. paper Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, Le Song. Graph Capsule Convolutional Neural Networks. ICML 2018 Workshop. paper Saurabh Verma, Zhi-Li Zhang. Capsule Graph Neural Network. ICLR 2019. paper Zhang Xiny...
Neural Execution of Graph Algorithms. ICLR 2020. paper Petar Veličković, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell. GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR 2020. paper Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna. ...
A Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks. PADL 2017. paper Alex Nowak, Soledad Villar, Afonso S. Bandeira, Joan Bruna. Attention Solves Your TSP, Approximately. 2018. paper Wouter Kool, Herke van Hoof, Max Welling. Learning to Solve NP-Complete Problems...
Learning Steady-States of Iterative Algorithms over Graphs. ICML 2018. paper Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, Le Song. Graph Capsule Convolutional Neural Networks. ICML 2018 Workshop. paper Saurabh Verma, Zhi-Li Zhang. Capsule Graph Neural Network. ICLR 2019. paper Zhang Xiny...