InfoLab, University of Southern California
Information laboratory (InfoLAB) at the University of Southern California
Pinned Repositories
busyness-graph-neural-network
Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.
c-Fair-Polynomials
Publication: Models and Mechanisms for Fairness in Location Data Processing
infantPA
NeuroGNN
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
orddc2024
pyGarminAPI
Python library for seamless interaction with Garmin API, enabling fetching of activity and health data using Garmin Pull API.
rddc2020
road damage detection challenge 2020
StreamSim
StreamSim is a versatile real-time data streaming simulator tool for researchers and developers that enables the simulation of real-time streaming behavior for tabular data, facilitating comprehensive testing of real-time applications.
w4h-integrated-toolkit
The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
w4h-lib
Library functions for w4h, reusable for other modules
InfoLab, University of Southern California's Repositories
USC-InfoLab/rddc2020
road damage detection challenge 2020
USC-InfoLab/NeuroGNN
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
USC-InfoLab/busyness-graph-neural-network
Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.
USC-InfoLab/infantPA
USC-InfoLab/w4h-integrated-toolkit
The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
USC-InfoLab/orddc2024
USC-InfoLab/pyGarminAPI
Python library for seamless interaction with Garmin API, enabling fetching of activity and health data using Garmin Pull API.
USC-InfoLab/StreamSim
StreamSim is a versatile real-time data streaming simulator tool for researchers and developers that enables the simulation of real-time streaming behavior for tabular data, facilitating comprehensive testing of real-time applications.
USC-InfoLab/c-Fair-Polynomials
Publication: Models and Mechanisms for Fairness in Location Data Processing
USC-InfoLab/FairKD-tree
Link to Manuscript: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=WnWN4NkAAAAJ&sortby=pubdate&citation_for_view=WnWN4NkAAAAJ:7PzlFSSx8tAC
USC-InfoLab/fhipe
An implementation of Function-Hiding Inner Product Encryption
USC-InfoLab/infolab.usc.edu
A beautiful, simple, clean, and responsive Jekyll theme for academics
USC-InfoLab/NeuroComplete
USC-InfoLab/SNH
Spatial Neural Histograms to answer range count queries on a geospatial dataset while preserving differential privacy.
USC-InfoLab/Supporting-Secure-Dynamic-Alert-Zones-Using-Searchable-Encryption-and-Graph-Embedding
USC-InfoLab/w4h-lib
Library functions for w4h, reusable for other modules
USC-InfoLab/fft_approximate
Postgres Extension for Answering Approximate Aggregate Queries on Time Series Data
USC-InfoLab/NeuroSketch
Neural Network framework for answering range aggregate queries, k-th nearest neighbour and distance to k-th nearest neighbour queries efficiently
USC-InfoLab/pyFitbitAPI
USC-InfoLab/stholes
USC-InfoLab/VDR
USC-InfoLab/w4h-db
USC-InfoLab/w4h-documentation
End user documentation for the W4H platform
USC-InfoLab/w4h-icde-demo
USC-InfoLab/W4H-ImportHub
🌉 W4H ImportHub - An intuitive tool designed to effortlessly bridge the gap between your offline datasets and the W4H platform. From seamless CSV integration to smart data mappings, step into the expansive world of W4H with ease.