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Introduction
Introduction
introduction_cnt2024.pptxWeek 2: Degree distribution, clustering, centrality (betweenness+closeness)
Week 2: Degree distribution, clustering, centrality (betweenness+closeness)
Introduction_to_Complex_Networks_Theory__Copy_.pdfWeek 2: Max Flow Reference
Week 2: Max Flow Reference
maxflow.4up.pdfWeek 3: Page Rank
Week 3: Page Rank
09-pagerank_removed.pptxWeek 4: Community Detection in Networks
Week 4: Community Detection in Networks
Community Detection in Networks.pptxReferences
References
The Structure and Function of Complex Networks, MEJ. Newman 2003
Community Detection Notebook: https://github.com/eflegara/Network-Science-Lectures/blob/master/Community%20Detection.ipynb
Week 5: Graph Representation Learning
Week 5: Graph Representation Learning
Graph Representation Learning.pptxWeek 6: Random Walk
02-nodeemb_removed.pdfWeek 7: Graph Neural Networks
03-GNN1_removed.pdfWeek 8: Heterogeneous Graphs
07-hetero-graphs-part1.pdfPart-1
07-hetero-knowledgegraphs-part2.pdfPart-2
07-hetero-knowledgegraphs-part3.pdfPart-3
Week 9: Knowledge Graphs Reasoning
KG_reasoning_Apr03.pdfMulti-hop Reasoning
KG_Reasoning_April_8th_v2.pdfEmbed Query
query2box-iclr20.pdfReference for Reasoning over KG
Week 10: GNN and Recomendation Systems
09-theory-smaller.pdfGNN Theory
11-recsys_removed.pdfRecomendation Systems
Week 11: Deep Generative Models
16-deep-generation.pdfDeep Generative Models for Graphs
Week 12: Deep Generative Models
16-deep-generation copy.pptxDeep Graph Generative Models to Molecule Generation
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