Chapter Metrics
This file contains chapter-by-chapter metrics.
| Chapter |
Name |
Sections |
Diagrams |
Words |
| 0 |
Chapter 0: Math and Programming Prerequisites |
56 |
1 |
7,465 |
| 1 |
Chapter 1: Introduction to Graphs and Networks |
55 |
1 |
8,815 |
| 2 |
Chapter 2: Graph Properties and Traditional ML Features |
35 |
1 |
8,340 |
| 3 |
Chapter 3: Link Analysis and PageRank |
26 |
2 |
8,063 |
| 4 |
Chapter 4: Node Embeddings: DeepWalk and node2vec |
31 |
1 |
8,751 |
| 5 |
Chapter 5: Label Propagation and Semi-Supervised Learning |
26 |
2 |
8,234 |
| 6 |
Chapter 6: GNN Foundations: Message Passing and GCN |
31 |
3 |
8,727 |
| 7 |
Chapter 7: GNN Design Space: GraphSAGE and GAT |
28 |
2 |
8,492 |
| 8 |
Chapter 8: GNN Training, Augmentation, and Practical Tips |
37 |
2 |
9,304 |
| 9 |
Chapter 9: Theory of GNNs: Expressiveness and the WL Test |
32 |
2 |
8,907 |
| 10 |
Chapter 10: Designing Powerful Encoders: GIN and Beyond |
31 |
1 |
8,860 |
| 11 |
Chapter 11: Graph Transformers |
32 |
0 |
8,762 |
| 12 |
Chapter 12: Knowledge Graph Embeddings |
24 |
0 |
8,519 |
| 13 |
Chapter 13: Reasoning over Knowledge Graphs |
25 |
0 |
7,487 |
| 14 |
Chapter 14: Knowledge Graph Foundation Models |
22 |
1 |
7,987 |
| 15 |
Chapter 15: Heterogeneous Graphs |
23 |
1 |
7,879 |
| 16 |
Chapter 16: GNNs for Recommender Systems |
26 |
1 |
9,439 |
| 17 |
Chapter 17: Relational Deep Learning |
19 |
1 |
8,428 |
| 18 |
Chapter 18: Community Structure in Networks |
16 |
2 |
7,893 |
| 19 |
Chapter 19: Frequent Subgraph Mining |
13 |
2 |
7,153 |
| 20 |
Chapter 20: Scaling GNNs to Billion-Node Graphs |
15 |
2 |
7,969 |
| 21 |
Chapter 21: Deep Generative Models for Graphs |
14 |
1 |
7,537 |
| 22 |
Chapter 22: Temporal and Dynamic Graphs |
18 |
2 |
7,413 |
| 23 |
Chapter 23: LLMs and GNNs: Text-Attributed Graphs and Joint Training |
19 |
2 |
7,693 |
| 24 |
Chapter 24: Advanced GNN Topics: In-Context Learning and Uncertainty |
23 |
3 |
7,989 |
| 25 |
Chapter 25: Agents and Graphs |
21 |
3 |
7,543 |
| 26 |
Chapter 26: Conclusion — The GNN Design Space and Open Problems |
34 |
1 |
9,092 |
Metrics Explanation
- Chapter: Chapter number (leading zeros removed)
- Name: Chapter title from index.md
- Sections: Count of H2 and H3 headers in chapter markdown files
- Diagrams: Count of H4 headers starting with '#### Diagram:'
- Words: Word count across all markdown files in the chapter