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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Updated
Sep 30, 2023
The repository is a curated list of various resources, including academic papers, books, courses, tools, and libraries, related to machine learning with graph data.
An experimental jazz collaboration graph for Neo4J
Understanding Evolution Through Spatio-Temporal Graph Generation
Machine learning on graphs
Models for predicting job titles of github users.
Graph Active Semi-supervised Semantic segmentation for Event-based Vision
Predicting Python method name given an Abstract Syntax Tree
Torch geometric compatible node embedders
Detection of rare child diseases by applying graph machine learning to a remote dataset with federated machine learning
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
Exploring machine learning and graph embedding concepts from Neo4j for training models to predict user rating for various restaurants from yelp data
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
StellarGraph - Machine Learning on Graphs
Toloker Graph: Interaction of Crowd Annotators
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning
Fraud detection using Graph Convolutional Networks
A curated list of amazingly awesome things regarding Graph Structure Learning.
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts (NeurIPS'23)
Various Network Science Projects (2021-2022)
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