Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph.

Learn how to model graph data, the type of data that represents the relationships and connections between entities. Discover the best practices for choosing the graph database, defining the schema ...

July 10, 2025) - The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON ...

Anyone working in modern data applications will see at once that it is very clearly a graph model—it’s made up of nodes with attributes linked by relationships. You can try the same experiment ...

Graph Transformers need help with scalability in graph sequence modeling due to high computational costs, and existing attention sparsification methods fail to adequately address data-dependent ...

TagGen is an end-to-end deep generative model that is able to directly learn from the raw while finest-grained temporal networks (i.e., a collection of time-stamped edges). In particular, our ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Skip to main content Saturday 5 July 2025 ...

This means creating a knowledge graph, which is a data structure that encodes the relationships between entities in a graph. This encoding is done in the form of a subject-relation-object triple.

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

The Graph is a decentralised protocol that indexes and queries blockchain data, enabling efficient access for dApps. It has integrated AI capabilities, including model hosting and AI-assisted ...