New Sections on "Machine Learning on Knowledge Graphs" and "Language Models and Knowledge Graphs" added to long-running survey: "Semantic Web: Past, Present, and Future"

Dear all

we are happy to announce an update to our long-running overview article 
*“Semantic Web: Past, Present, and Future”*, published in /TGDK 2(1): 
3:1–3:37 (2024)/. ✨

The article has now been extended with two new sections, covering 
*machine learning methods on knowledge graphs* and *language models and 
knowledge graphs*. 🤖📚

In detail, the newly added sections are:

*9 Machine Learning on Knowledge Graphs
*
/9.1 Graph Embeddings
/9.1.1 Classical Graph Embeddings
9.1.2 Embeddings for Knowledge Graphs
9.1.3 Discussion of Graph Embeddings

/9.2 Neural Networks for Graphs
/9.2.1 Categories of Graph Neural Networks (GNNs)
9.2.2 Oversquashing and Oversmoothing in GNNs
9.2.3 Homophilic and Heterophilic Graphs
9.2.4 GNNs for Knowledge Graphs

*10 Language Models and Knowledge Graphs
*10.1 Graph Transformer, Language Models, and Retrieval Augmented Generation
10.2 Graph Foundation Models

You can find the updated article on arXiv:
🔗 https://arxiv.org/abs/2412.17159 
<https://arxiv.org/abs/2412.17159><https://arxiv.org/abs/2412.17159>

Feedback is very welcome! 💬

If you would like to contribute to future updates, please visit:
🔧 https://github.com/ascherp/semantic-web-primer 
<https://github.com/ascherp/semantic-web-primer>

Happy reading — we look forward to your feedback! 📖🙂

Best regards,
Ansgar



<https://github.com/ascherp/semantic-web-primer>