#Graph-representation-learning

Showing 10 of 10 repositories tagged #graph-representation-learning, ranked by stars

naganandy

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Repository for benchmarking graph neural networks (JMLR 2023)

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

PyGCL: A PyTorch Library for Graph Contrastive Learning

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Visualization tool for Graph Neural Networks

Awesome-Brain-Graph-Learning-with-GNNs

Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain graph learning with GNNs to join the project.

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

Score

★ 83 ⑂ 31 —

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