Edutopia

The Power of Slow Reveal Graphs

One powerful way to do this is through a routine called slow reveal graphs.

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
IEEE

Multi-Level Task-Agnostic Graph Representation Learning With Isomorphic-Consistent Variational Graph Auto-Encoders

Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...
Tech Xplore

Researchers develop a next-generation graph-relational database system

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Enterprise Knowledge Graph: The Intelligent Engine for Insights into Enterprises, Key Personnel, and Investment Relationships

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

Neo4j Launches Infinigraph: The Most Scalable Graph Database for Unified Operational and Analytical Workloads at 100TB+ Scale

Neo4j®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in ...
IEEE

2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning

Abstract: Graph representation learning has numerous applications, ranging from social networks to bioinformatics, with a major focus on Graph Neural Networks (GNNs). However, many GNN models face ...
ZDNet

Graph databases are exploding, thanks to the AI boom - here's why

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...