AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
IEEE

COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution

Abstract: Irregular event streams are common in domains such as finance, healthcare, and e-commerce, where the underlying data-generating processes are often highly complex and vary widely in scale.
IEEE

Skeleton-Based Continuous Scale Parkinsonian Gait Score Estimation Using Omni-Dimensional Self-Attention Convolution Networks

Abstract: Gait abnormalities constitute a primary motor symptom of Parkinson’s disease (PD). Clinically, the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is widely ...
The American Journal of Managed Care

Time-Limited Regimens Gain Notice, Offering a Break for Patients With Blood Cancer and Savings for Payers

The CLL17 trial showed noninferiority of fixed-duration regimens compared to continuous BTK inhibitor therapy, highlighting ...
MarketWatch

Gold Continuous Contract

2-Year U.S. Treasury Note Continuous Contract $104.250-0.090-0.09% 5-Year U.S. Treasury Note Continuous Contract $109.070-0.094-0.09% 10-Year U.S. Treasury Note Continuous Contract $112.234-0.016-0.01 ...
MarketWatch

Crude Oil Continuous Contract

2-Year U.S. Treasury Note Continuous Contract $104.250-0.090-0.09% 5-Year U.S. Treasury Note Continuous Contract $109.070-0.094-0.09% 10-Year U.S. Treasury Note Continuous Contract $112.234-0.016-0.01 ...
Investopedia

Understanding Continuous Bonds: Definition, Functionality, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation

Official implementation of the paper $\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation. **Abstract**: *Current video-language models ...
GitHub

Awesome Dynamic Graph Neural Networks for Neurological Disorders

This repository maintains a comprehensive collection of research on Dynamic Graph Neural Networks (DGNNs) applied to neurological disorders. DGNNs have emerged as powerful tools for modeling the ...