白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
Graph Neural Network Library for PyTorch
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Protein Graph Library
links to conference publications in graph-based deep learning
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Programmable CUDA/C++ GPU Graph Analytics
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A pytorch library for graph and hypergraph computation.
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
A python library for social event detection
Official PyTorch implementation of HGPTrans: hierarchical graph-pooling Transolver for vehicle aerodynamic drag prediction (Cd regression) from STL meshes.
AI-powered Labour Law Violation Detection System using Weak Supervision, BiLSTM, Graph Neural Networks (GNN), and Explainable AI to identify labour law violations.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.