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A Factored System for Sample-based GNN Training over GPUs
Code repository for course CS 7313 - Fall 2025
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
AI Powered Knowledge Graph Generator
Distributed Deep Graph Learning Framework for Dynamic Graphs
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
Development repository for the Triton language and compiler
A high-throughput and memory-efficient inference and serving engine for LLMs
CUDA Python: Performance meets Productivity
Dir-GNN is a machine learning model that enables learning on directed graphs.
SGLang is a high-performance serving framework for large language models and multimodal models.
a vue2.0 minimal admin template
Python tool for converting files and office documents to Markdown.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
SquirrelFS: A crash-consistent Rust file system for persistent memory (OSDI 24)
NVIDIA Linux open GPU kernel module source
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
[ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"