I have an exam for the following subject : Network & Graph Analytics Can you please suggest

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I have an exam for the following subject : Network & Graph Analytics

Can you please suggest me how to prepare for the subject . I have class slides but I want to know if there are more resources from which I can practice.
Pls suggest a methodology too.
The exam will consist of MCQs and Descriptive Answers.
Syllabus :
Session 1: Thinking Graph

Introduction to Graphs
Path Analysis
Connectivity Analysis
Community Analysis
Centrality Analysis
Pattern Matching
Programming Model for Graphs
Applications of Graph and introduction to Graph tools and representations

Session 2: Semantic Web Technologies
Evolution of Semantic Web: Web 1.0-Web 2.0-Semantic Web
Graph Data & Databases
Ontology: RDF, RDFS, OWL
Semantic Modeling
Querying Semantic Data: SPARQL

Session 3: Enterprise Knowledge Graphs

Context of Enterprise Knowledge Graphs,
Knowledge Layer
Enterprise Vocabularies
Representing Knowledge in Graph
Inferencing & Reasoning
Context based & personalized Intelligent Insights
Data Provenance & Data Virtualization

Session 4: Advanced EKG: Knowledge Graph Extraction from Unstructured Data & AI

Evaluating Unstructured text for extracting Knowledge Graphs
Knowledge Graph embeddings: Entity Extraction, Relationship Extraction, Coreference, Disambiguation, Semantic Role Labeling, Knowledge Discovery
Frameworks in the Market and comparison
Knowledge Graph Architecture
AI & Generative AI Context and Usage of Knowledge Graphs
Inferencing based Context and Prompt Engineering
Advanced Embeddings driven Content Generation
Explainable AI with Knowledge Graphs
Advanced Knowledge Catalogs for Enterprise Data using EKG

Session 5: Implementing Enterprise Knowledge Graphs