The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to their conventional counterparts. However, the latent ...

Real-world data is often costly, messy, and limited by privacy rules. Synthetic data offers a solution—and it’s already widely used: SDV (Synthetic Data Vault) is an open-source Python library that ...

The Department of Marine Resources utilizes ArcGIS Online to provide spatial and tabular data to the public. A number of web applications are also available for interacting with department datasets. A ...

Abstract: Graphs are essential for modeling complex relationships, analyzing networks, and offering versatile representations that capture diverse data structures. Graph Neural Networks (GNNs) excel ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

In the rapidly developing field of Artificial Intelligence, it is more important than ever to convert unstructured data into organized, useful information efficiently. Recently, a team of researchers ...

Databricks is acquiring Tabular, a data-management startup that helps companies use a variety of open-source data formats, as the company looks to win artificial intelligence customers by making it ...

The usage of synthetic data is gaining momentum in part due to the unavailability of original data due to privacy and legal considerations and in part due to its utility as an augmentation to the ...