benedekrozemberczki/awesome-graph-classification resource

Health v2 · maintenance only

Adoption not part of the score

4800 stars · 724 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list of graph classification, embedding, and representation learning papers organized into matrix factorization, spectral fingerprints, deep learning, and graph kernels, each with reference implementations. It serves as a research index rather than a runnable library.

Use cases

• find papers on graph embedding with code
• learn graph classification methods
• compare graph kernel approaches
• find node2vec and deepwalk implementations
• survey graph representation learning literature
• find graph neural network papers with reference code

When to choose

• researching graph classification or embedding literature
• looking for implementations of graph kernel or GNN papers
• building a reading list for graph representation learning

When to avoid

• you need a production-ready graph ML library
• you want a maintained tool rather than a paper index
• you need benchmark datasets themselves (see the linked graph_datasets repo)

Facets

learning-resource · maturity maintenance

machine-learning developer-tools machine-learning artificial-intelligence tutorials awesome-lists python awesome-list graph-embedding graph-classification graph-kernels node2vec deep-learning papers-with-implementations representation-learning

Member repositories

For agents

markdown · JSON · MCP: product_card(name="benedekrozemberczki/awesome-graph-classification")