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