TA8b.1

Sampling of Finite Time-Vertex Graph Signals with Successive Local Aggregations

Hang Sheng, Lin Jin, Hui Feng, Bo Hu, Fudan University, China
Session:
TA8b: Learning over Graphs and Networks Poster
Track:
Networks and Graphs
Location:
Merrill Hall
Presentation Time:
Tue, 28 Oct, 10:15 - 11:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TA8b
TA8b.1: Sampling of Finite Time-Vertex Graph Signals with Successive Local Aggregations
Hang Sheng, Lin Jin, Hui Feng, Bo Hu, Fudan University, China
TA8b.2: Graph Contrastive Learning for Connectome Classification
Martín Schmidt, Sara Silva, Federico Larroca, Facultad de Ingeniería, Universidad de la República, Uruguay; Gonzalo Mateos, University of Rochester, United States; Pablo Musé, Facultad de Ingeniería, Universidad de la República, Uruguay
TA8b.3: Higher-order Monte Carlo cluster dynamics for community detection in Euclidean graphs
Louis Hauseux, Nahuel Soprano-Loto, Konstantin Avrachenkov, Inria, France
TA8b.4: Joint Cache Allocation and Router Assignment in Information-Centric Network
Parisa Eslami, University of Maryland, Baltimore County, United States; Pejman Ghasemzadeh, Shahriar Shahabuddin, Oklahoma State University, United States
TA8b.5: Induced Spatial-Topology-Aware Load Prediction in Wi-Fi Networks via Graph Neural Networks
Dariush Salami, Luca Barbieri, Lorenzo Galati Giordano, Nokia Bell Labs, Finland
TA8b.6: Finding the Distribution of Age of Information for Multi-Channel Age-Dependent Status Update Policies
Nail Akar, Bilkent University, Turkey; Ismail Cosandal, Sennur Ulukus, University of Maryland, United States
TA8b.7: Wireless Link Scheduling with State-Augmented Graph Neural Networks
Romina Garcia Camargo, Zhiyang Wang, University of Pennsylvania, United States; Navid NaderiAlizadeh, Duke University, United States; Alejandro Ribeiro, University of Pennsylvania, United States
TA8b.8: Graph Neural Network Guided Search for Power Grid Topology Correction
Pranav Kulkarni, California Institute of Technology, United States; Alan O'Connor, Frank Yaul, Analog Devices, Inc., United States
TA8b.9: Bilevel graphical lasso: A nonsmooth BLO approach to learn graphs from data
Fernando Real-Rojas, Samuel Rey, Antonio G. Marques, King Juan Carlos University, Spain
TA8b.10: Causal Analysis of Graph Signals for Brain Effectome Inference
Srikar Mutnuri, Aniruddha Adiga, Srinivasan Venkatramanan, Madhav V. Marathe, University of Virginia, United States
TA8b.11: Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Graphs via Sampling
Hamed Ajorlou, Gonzalo Mateos, University of Rochester, United States; Luana Ruiz, Johns Hopkins University, United States
TA8b.12: Extremum-Based Joint Compression and Detection for Distributed Sensing
Amir Weiss, Bar-Ilan University, Israel; Alejandro Lancho, 1. Universidad Carlos III de Madrid; 2. Gregorio Marañón Health Research Institute, Spain
Contacts