Precision Medicine Knowledge Graph (PrimeKG)
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Updated
May 27, 2024 - Jupyter Notebook
Precision Medicine Knowledge Graph (PrimeKG)
The integration of HugeGraph with artificial intelligence
[ICML24] BAT: Balanced Topological Augmentation for Class-imbalanced Node Classification | 纯拓扑视角下的类别不平衡节点分类
A Python client for the Neo4j Graph Data Science (GDS) library
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning
Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs
[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
Detection of rare child diseases by applying graph machine learning to a remote dataset with federated machine learning
Machine learning self-notes, review the best papers across all times.
A curated list of graph data augmentation papers.
A benchmark suite for Graph Machine Learning
ComptoxAI - An artificial Intelligence toolkit for computational toxicology
StellarGraph - Machine Learning on Graphs
Benchmark datasets, data loaders, and evaluators for graph machine learning
Solutions to homework problems and programming assignments for Stanford's cs224w Machine Learning with Graphs (2021) course.
Torch geometric compatible node embedders
Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts (NeurIPS'23)
The repository is a curated list of various resources, including academic papers, books, courses, tools, and libraries, related to machine learning with graph data.
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