DSC 250 Advanced Data Mining

Date	Lecture	Readings	Logistics
09/28	Lecture #1: Overview [ slides ]
10/03	Lecture #2 Basics [ slides ]	PRML, Chapter 8 (Graphical Models): 8.1, 8.2 (Optional)
10/05	Lecture #3 Basics [ slides as above ]	PRML, Appendix D. Calculus of Variations
10/10	Lecture #4 Basics [ slides as above ]	PRML, Appendix E. Lagrange Multipliers
10/12	Lecture #5 Text Mining: Topic Models [ slides ]	Blei et al., Latent Dirichlet Allocation
10/17	Lecture #6 Text Mining: Topic Models [ slides ]		HW1 out
10/19	Lecture #7 Text Mining: EM Algorithm [ slides ]	Borman, The EM algorithm (A short tutorial)	Project proposal due
10/24	Lecture #8 Text Mining: Language Models [ slides ]	J Eisenstein, Chapter 6 (Language Models) (Optional) PRML, Chapter 10.1-10.3 (Variational Inference)
10/26	Lecture #9 Text Mining: Language Models [ slides ]	Lecun and Misra, (Blog) Self-supervised learning: The dark matter of intelligence
10/31	Lecture #10 Text Mining: Text Embedding [ slides ]	(Optional) Devlin et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
11/02	Lecture #11 Graph Mining: Node Embedding [ slides ]	Nature article, Lightning talks: science in 5 minutes or less
11/07	Lecture #12 Graph Mining: Node Embedding, Graph NNs [ slides ]	Kipf and Welling, Semi-Supervised Classification with Graph Convolutional Networks	HW1 due; HW2 out
11/09	Lecture #13 Graph Mining: Graph NNs [ slides ]	(Optional) You et al., Design Space for Graph Neural Networks
11/14	Lecture #14 Graph Mining: Knowledge Graphs [ slides ]	Bordes et al., Translating Embeddings for Modeling Multi-relational Data
11/16	Lecture #15 Graph Mining: Knowledge Graphs [ slides ]	Guu et al., Traversing Knowledge Graphs in Vector Space
11/21	Lecture #16 Recommender System [ slides ]	Wang, et al. Neural Graph Collaborative Filtering	Project mid-term report due
11/23	Thanksgiving Holidays (No class)
11/28	Lecture #17 Recommender System [ slides ]	(Optional) Ying, et al., Graph Convolutional Neural Networks for Web-Scale Recommender Systems	HW2 due
11/30	Lecture #18 Recommender System [ slides ]	N/A
12/05	Final Project Presentation
12/07	Final Project Presentation
Final Week			Project final report due

09/28

Lecture #1:
Overview
[ slides ]

10/03

Lecture #2
Basics
[ slides ]