Fall 2018
Data Science Seminar
Lecturers: Mourad Khayati and Dingqi Yang
Teaching language: English
Level: MSc students
Academic year: Fall 2018
Overview
The seminar on data science involves presentations that cover recent topics on data science. The area of this year’s seminar is graph embeddings. In the scope of this seminar, we investigate papers that describe algorithms and techniques to learn the representations of the vertices from a given network.
Structure
The goal for the students is to learn how to critically read and study research papers, how to describe a paper in a report, and how to present it in a seminar. Under supervision, students will select one paper to study, contrast and compare with related work. This seminar aims to help students to gather in-depth knowledge of an advanced topic and develop the skills required to describe a complex problem from the word embedding area in the form of both a presentation, a written report and empirical evaluation.
IMPORTANT NOTE: The papers will be distributed on a first come first serve basis.
Evaluation and Expectations
The final grade depends on the quality of the report, presentation, reproducibility experiments and active participation during the seminar. Each participant prepares a self contained report of min 6 pages and gives a presentation of 20 minutes. The report should describe in detail the proposed technique(s). The report might contain a small running example, counter example(s) and should explore the extreme cases where the proposed approach would perform best and worst. The reproducibility experiments consists of reproducing the same set of experiments introduced in the paper and making a 10 min demo about it.
Advices on how to:
IMPORTANT NOTE: Attendance is mandatory for the two class seminar sessions. The total number of participants will be limited to 10.
Schedule
Kickoff Meeting. Date: Tue, 25.09.2018, 14:00-17:00, room: A403
Setup and organization of seminar, and paper assignment
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Date: Tue, 1.11.2018
Report deadline Batch1
Date: Tue, 6.11.2018, all day, room: B312 or C429
Office meeting with students from Batch1
First Seminar Session. Date: Tue, 13.11.2018, 15:00-18:00, room: G514
Presentations of Batch1
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Date: Tue, 1.12.2018
Report deadline of Batch2
Date: Tue, 4.12.2018, all day, room: B312 or C429
Office meeting with students from Batch2
Second Seminar Session. Date: Tue, 11.12.2018, 14:15-17.00, room: G314
Presentations of Batch2
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Date: Tue, 15.01.2019
Deadline final Report of Batch1 and Batch2
Paper Assignment
The papers will be distributed on a first come first serve basis. Please use the following link to select one paper among the list of papers.
Paper & code | Presentation Date | Presenter | Supervisor | First Report Deadline |
(1) DeepWalk: Online Learning of Social Representations, KDD 2014. code: link | 13.11.2018 | Stefan Jonas | Dingqi Yang | 01.11.2018 |
(2) node2vec: Scalable Feature Learning for Networks, KDD 2016. code: link | 11.12.2018 | Julia Eigenmann | Dingqi Yang | 01.12.2018 |
(4) Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec, WSDM 2018. code: link | 11.12.2018 | Fabio Degiacomi | Dingqi Yang | 01.12.2018 |
(5) LINE: Large-scale information network embedding, WWW 2015. code: link | 13.11.2018 | Melike Geçer | Dingqi Yang | 01.11.2018 |
(9) GraRep: Learning Graph Representations withGlobal Structural Information. CIKM 2015. code: link | 11.12.2018 | Biswas Mili | Mourad Khayati | 01.12.2018 |
(11) Co-Evolution Model for Social Network Evolving and Opinion Migration, KDD 2017. code: link | 13.11.2018 | Tofunmi Ajayi | Mourad Khayati | 01.11.2018 |