Abstract: Graph representation learning (GRL) is fundamental in multi-graph applications like molecular property prediction. Graph neural networks (GNNs) have emerged as a popular method for GRL.

Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...

Artificial Intelligence (AI) is woven into the fabric of India’s rapidly digitising economy. Banks deploy AI to flag fraudulent transactions in seconds, so do telcos use AI to deliver warnings on spam ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

What is Context Portal MCP server (ConPort)? Context Portal (ConPort) is your project's memory bank. It's a tool that helps AI assistants understand your specific software project better by storing ...

A sketchbook collection, a Joycean comedy and a brutal self-examination gave us a lot to look at. Credit...Karan Singh Supported by By Sam Thielman The year 2024 was an especially good year for comics ...

Imagine binge-watching a TV series, but you can only remember one episode at a time. When you move on to the next episode, you instantly forget everything you just watched. Now, imagine you can ...

Abstract: Salient object ranking (SOR) aims to segment salient objects in an image and simultaneously predict their saliency rankings, according to the shifted human attention over different objects.

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 ...