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awesome-papers

github.com/data-centric-graphml/awesome-papers ↗

A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).

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How To Enhance Graph Data Availability and Quality?How To Learn From Graph Data With Limited-availability and Low-quality?How To Build Graph MLOps System: The Graph Data-centric View.

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What's inside

How To Build Graph MLOps System: The Graph Data-centric View.

[book]Graph Data Collection
https://aws.amazon.com/sagemaker/Graph MLOps
https://github.com/awslabs/graphstorm/wikiGraph MLOps
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dglGraph MLOps
https://github.com/kubeflow/kubeflowGraph MLOps
https://igraph.org/Graph Data Exploration

How To Enhance Graph Data Availability and Quality?

[paper]Graph Structure Enhancement
[paper]Graph Structure Enhancement
[paper]Graph Structure Enhancement
[paper]Graph Structure Enhancement
[paper]Graph Structure Enhancement
[paper]Graph Feature Enhancement

How To Learn From Graph Data With Limited-availability and Low-quality?

[paper]Graph Semi-supervised Learning
[paper]Graph Semi-supervised Learning
[paper]Graph Transfer Learning
[paper]Graph Self-supervised Learning
[paper]Graph Self-supervised Learning
[paper]Graph Self-supervised Learning

Showing a sample of 151 resources. View the full list on GitHub →