Analyze and visualize graph structures efficiently across Python, Rust, JavaScript, and R with dress-graph’s cross-platform tools.

RuVector is a High Performance, Real-Time, Self-Learning, Vector GNN, Memory DB built in Rust.

Distributed data deletion system using GNN and Pub/Sub (Published Research Paper - IJFRM)

DRESS: A Continuous Framework for Structural Graph Refinement

AI-powered pharmacogenomics platform using GATv2 to predict organ health, drug interactions, and personalized longevity insights from DNA, lifestyle, and medications.

ENRICHING SUMMARIZATION MODELS WITH GRAPH STRUCTURES AND USING GRAPH NEURAL NETWORKS

Detecting epilepsy seizures by using deep learning models on causal asymmetries in EEG data

AI-Powered Movie Recommendation Systems: Leveraging Machine Learning for Personalized Suggestions

Realt-time car accidents prediction via computer vision bigdata stream processing of video streams from traffic cameras

A graph neural network to predict blood brain barrier permeability of a drug

Deep learning framework for detecting stealthy lateral movement attacks in enterprises using Bi-LSTM networks and graph neural networks to identify suspicious behavioral patterns.

Ligand binding affinity prediction with fusion of graph neural networks and 3D structure-based complex graph

Neurosymbolic framework that catches LLM hallucinations mid-reasoning using causal graphs and GNNs. Converts chain-of-thought outputs into Causal Reasoning Graphs, detects flawed steps with a Graph Attention Network, and auto-corrects via RAG context injection ... before errors propagate.

Grab cut for image segmentation using graph neural networks

A Graph Neural Network (Siamese GATv2) pipeline using ESM-2 embeddings to map the Dengue NS1–Human interactome. Discovered a novel link between NS1 and Carbonic Anhydrases.

Meet FIORA! An in silico fragmentation algorithm designed to predict tandem mass spectra (MS/MS) with high accuracy. Using graph neural networks, FIORA models bond cleavages, fragment intensities, and estimates retention times (RT) and collision cross sections (CCS).

HIV molecules inhibitor classification using GNN with attention

DOSTransformer is a prompt-guided multimodal transformer architecture designed to predict the Density of States (DOS) of crystalline materials.

ML4FP 2025: notebooks used for the Machine Learning for Fundamental Physics (ML4FP) School 2025

Using to predict the highway traffic speed