An Industrial Graph Neural Network Framework
Ant Graph Learning (AGL) provides a comprehensive solution for graph learning tasks at an industrial scale.
An official implementation of paper "Paragraph2Graph: A Language-independent GNN-based framework for layout analysis"
CFG based program similarity using Graph Neural Networks
A PyG-based package of spectral GNNs with benchmark evaluations (SIGMOD 2026).
Application of Graph Neural Networks in accurate prediction of polypharmacy side effects.
AI-driven generative quantum circuit design for molecular & materials discovery — GNN + Transformer + QD-GRPO reinforcement learning + CUDA-Q, validated on QPU hardware. GIC 2026.
Graph Machine Learning (GML) Framework for Enterprise Use Cases
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