What it does This is a hand-maintained awesome-list that catalogs papers, tutorials, datasets, and tools across the full knowledge-graph lifecycle: extraction, embedding, question answering, schema design, and recent LLM intersections. It also separately tracks database-community papers (SIGMOD, VLDB, ICDE, KDD) by year from 2018 through 2026.

The interesting bit The maintainer marks database/data-science papers with 🌟 and LLM-related work with 🔥, which turns the repo into a rough heatmap of where the field’s attention is shifting. The LLM section has already splintered into sub-topics like RAG and agent memory, suggesting the taxonomy evolves as fast as the hype cycle.

Key highlights

• Covers 15+ sub-topics including multi-modal KGs, coreference resolution, relation extraction, and truth discovery
• Database-community papers curated separately by conference year (2018–2026)
• Links to external course materials (Stanford CS 520) and research-group homepages
• Includes practical tools: SPARQL servers, Wikidata integrators, ElasticSearch guides, BOOKNLP
• Lists major datasets (Wikidata, DBPedia, YAGO, Freebase) and Chinese-language resources (OwnThink, OpenKG)

Caveats

• Some entries are bare links with minimal annotation; depth varies by sub-page
• The “Slides in my Mac” note for one tutorial is charming but not downloadable
• Maintenance burden is unclear: no visible automation, so freshness depends on the maintainer’s bandwidth

Verdict Worth bookmarking if you’re doing a literature review, pivoting into KG research, or trying to connect LLM work to structured knowledge. Skip it if you need executable code or interactive notebooks—this is a reading list, not a framework.