GitHub

Graph Neural Prompting with Large Language Models

Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in ...
SiliconANGLE

Zencoder’s Zenflow gets LLMs to verify each other’s work and accelerate AI code automation

Artificial intelligence coding startup Zencoder today unveiled a new orchestration tool that it says will help enterprises move away from unproductive “vibe coding” to a more disciplined and ...
Microsoft

Refined graph encoder embedding via self-training and latent community recovery

This paper introduces a refined graph encoder embedding method, enhancing the original graph encoder embedding through linear transformation, self-training, and hidden community recovery within ...
BGR

Scientists Created A Genetic Code Search Engine Like 'Google For DNA'

DNA sequencing is one of today's most critical scientific fields, powering leaps in humanity's understanding of genetic causes of cancer, neurodegenerative diseases, and diabetes. One issue facing the ...
GitHub

Code Repository for Paper "Pretraining Graph State Encoders for microRTS using Graph Self-Supervised Learning"

Code repository for workshop paper "Pretraining Graph State Encoders for microRTS using Graph Self-Supervised Learning" - Teravolt/microrts-graph-state-encoder-gssl ...
Infosecurity-magazine.com

npm Package Uses QR Code Steganography to Steal Credentials

A malicious npm package named Fezbox has been found using an unusual technique to conceal harmful code. The package employs a QR code as part of its obfuscation strategy, ultimately aiming to steal ...
IEEE

Gemini-GraphQA: Integrating Language Models and Graph Encoders for Executable Graph Reasoning

Abstract: Graph-structured data presents challenges for natural language question answering due to its non-Euclidean topology and task-specific requirements. To solve this, we propose Gemini-GraphQA, ...
marktechpost

A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...