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This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Graph convolutional neural network for multirelational link prediction
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Generate embeddings from large-scale graph-structured data.
Graph Neural Networks with Keras and Tensorflow 2.
A collection of research papers and software related to explainability in graph machine learning.
Paper Lists for Graph Neural Networks
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Benchmark datasets, data loaders, and evaluators for graph machine learning
A collection of research on knowledge graphs
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Platform for designing and evaluating Graph Neural Networks (GNN)
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
🤖 A Python library for learning and evaluating knowledge graph embeddings
A curated list of resources for graph databases and graph computing tools
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
🟠 A study guide to learn about Graph Neural Networks (GNNs)
A Redis module for serving tensors and executing deep learning graphs
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
A Python Library for Graph Outlier Detection (Anomaly Detection)
TypeDB-ML is the Machine Learning integrations library for TypeDB
LibKGE - A knowledge graph embedding library for reproducible research
PyGCL: A PyTorch Library for Graph Contrastive Learning