Fall 2017 Seminars


DropBox folder for papers and presentations

Seminar participants will take turns presenting papers of their choice, with two papers being presented each week. Unless otherwise noted, all seminars are held in the Network Science Lab (Bldg 434, room 122) at 2:00 pm on Mondays.



Paper/Presentation Title


Oct 2

Seminar Overview Prof. Ambuj Singh
TasteWeights: a visual interactive hybrid recommender system, by Bostandjiev et al Dr. John O'Donovan

Oct 9

Adding counting quantifiers to graph patterns, by Fan, Wu, and Xu Isaac Mackey
Self-similarity of complex networks, by Song, Havlin, and Makse John Thomason

Oct 16

Time-resolved resting-state brain networks, by Zalesky et al. Jacob Fisher
Bidirectional Semi-Supervised Learning with Graphs, by Iwata and Duh, James Bird

Oct 23

Can Cultural Worldviews Influence Network Composition? by Vaisey and Lizardo Devin Cornell
Applying a passive network reconstruction technique to Twitter data in order to identify trend setters, by Chetty et al. David Grimsman

Oct 30

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders, by Zhao, Zhao, and Eskenaze Yun Zhao
From ITDL to Place2Vec – Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts, by Yan, et al. Su Burtner

Nov 6

Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi, by Helleringer and Kohler. Vania Wang
Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective, by Chen et al. Rachel Redberg

Nov 13

A network approach of gene co-expression in the Zea mays/Aspergillus flavus pathosystem to map host/pathogen interaction pathways, by Musungu et al. Keenan Berry
Spontaneous evolution of modularity and network motifs, by Kashton and Alon. Taom Sakal

Nov 20

Inferring Cellular Networks Using Probabilistic Graphical Models, by Nir Friedman. Kevin Smith
Network Lasso: Clustering and Optimization in Large Graphs, by Hallac et al. Roman Aguilera

Nov 27

Learning from Labeled and Unlabeled Vertices in Networks, by Ye et al. Andrew Huang
GloVe: Global Vectors for Word Representation, by Pennington, Socher, and Manning Magzhan Zholbaryssov