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A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
Alink is a machine learning algorithm platform built on Apache Flink, developed by Alibaba's PAI team.
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
A distributed graph deep learning framework for building graph-based AI models and applications.
CogDL is a comprehensive library for graph deep learning, providing state-of-the-art models and utilities for graph-based tasks.
A Python library for learning graph embeddings and applying them to tasks like link prediction.
PyTorch implementation and explanation of popular graph representation learning papers.
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