Individual Files
Presentations
Day One
- Opening Remarks
- Keynote - Cognitive Security Challenges: A Multi-Faceted Approach - Brian Kettler
- Keynote - Anonymous Cross-Party Conversations Can Decrease Political Polarization: A Field Experiment on a New Social Media Platform - Chris Bail
- Larger, faster, deeper, broader diffusion cascades - or simply larger? - Johan Ugander
- Cultural Convergence: Insights into the behavior of misinformation networks on Twitter - Liz McQuillan
- Reconnaissance of Influence Operations (RIO) - Erika Mackin
- Leveraging Behavioral Models for Designing Causal Analyses Resilient to Model Failure - Edo Airoldi
- Network Experimentation - Brian Karrer
- An empirically grounded theory of tasks using high-throughput experiment design - Abdullah Almaatouq
Day Two
- Keynote - Computational Epidemiology at the time of COVID-19 - Alex Vespignani
- Keynote - Graph Neural Networks and Beyond - Jure Leskovec
- A network-informed approach for designing effective pandemic control strategies - Lucas Laird
- Graph Representation Learning for Drug Discovery - Marinka Zitnik
- Adversarial attacks on uncertainty for active learning graph-convolutional interatomic potentials - Rafael Gómez-Bombarelli
- On Graph Embeddings and Extrapolations - Bruno Ribeiro
- Revealing consensus and dissensus between network partitions - Tiago Peixoto
- Negatively Curved Graphs - Matt Yancey
Posters 2019
- Text Summarization via Weak Graph Learners - Alyssa Mensch
- Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets via Quotation Propagation - Joe Schlessinger
- PATHATTACK: Attacking Shortest Paths in Complex Networks - Benjamin Miller
- Dynamic Graph Edge Clustering: The Art of Conversation... Mining - Michael Ostroski
- Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs - Jiong Zhu
- The Structure of Toxic Conversations on Twitter - Martin Saveski
- Community Randomized Graph Cluster Randomization - Heather Mathews
- Unified GNN Architecture Design for High-Throughput Material Screening - Petar Griggs
- Cryptic Transmission of SARS-CoV-2 and the First Wave of the COVID-19 Pandemic in Europe and the United States - Jessica Davis
- Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks - Yujun Yan
- GLAMOUR: Graph Learning over Macromolecule Representations - Somesh Mohapatra
- From Single-Cells to Patients: Formulation Learning Tasks for Biomedical Graphs - Michelle Li
- Towards a Unified Framework for Fair and Stable Graph Representation Learning - Chirag Agarwal
- Fixed-Time Descriptive Statistics Underestimate Extremes of Epidemic Curve Ensembles - Jonas Søgaard Juul