Youtu-GraphRAG boosts cost efficiency, inference accuracy, and cross-domain adaptability, pushing the boundaries of performance in complex QA.

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

[NeurIPS'25] Graph Foundation Model for Retrieval Augmented Generation

command line tool for managing dock items

The original code for ICML 2025 paper "Unifews: You Need Fewer Operations for Efficient Graph Neural Networks"

The original code for: HubGT: Scalable Graph Transformer with Decoupled Hierarchy Labeling

RAG that intelligently adapts to your use case, data, and queries

Fast and exact shortest-path distance querying index

💪🏻 Blazing-fast system monitoring for your desktop (built with Rust, Tauri & Svelte)

A polynomial filter using a universal basis

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

first commit

[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

This repository is the official repository of the GIM.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A PyG-based package of spectral GNNs with benchmark evaluations (SIGMOD 2026).

"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

A meme system info tool for Linux, based on nyan/uwu trend on r/linuxmasterrace.

CLI/GUI for managing the battery charging status for Apple silicon (M1, M2, M3) Macs

A lightweight window border system for macOS

FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.

Low-Level Graph Neural Network Operators for PyG

This repository provides code and data for the paper "GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection" (NeurIPS 2023).