Asset managers eager to roll out leveraged exchange-traded funds tied to SpaceX on its first trading day have been told to delay the launch until Monday, four sources familiar with the matter said.
This repository supports the following paper: M. Zhang, P. Li, Y. Xia, K. Wang, and L. Jin, Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. [PDF] SEAL ...
Abstract: Knowledge graphs are used extensively in various fields. Labor-intensive and time-consuming error detection for large-scale knowledge graphs significantly ...
Abstract: This paper proposes a graph-based matrix level partitioning methodology for parallel electromagnetic transient (EMT) simulation. By partitioning the graph associated with the admittance ...
Genomic medicine relies on single reference genomes that miss crucial genetic diversity, creating diagnostic gaps that disproportionately affect underrepresented populations. Pangenome graphs, ...
@article{article, author = {Chen, Yu and Shen, Shuhan and Chen, Yisong and Wang, Guoping}, year = {2020}, month = {07}, pages = {107537}, title = {Graph-Based ...
Federated GraphQL distributes the ownership of the graph across several teams. This requires all teams to adopt and learn federated GraphQL and can be accomplished by providing a well-rounded ...
Algorithms in new application areas like machine learning and network analysis use “irregular” data structures such as graphs, trees and sets. Writing efficient parallel code in these problem domains ...
In today's widely used parallel programming models, subtle programming errors can lead to unintended nondeterministic behavior and hard to catch bugs. In contrast, we argue for a parallel programming ...
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