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The Graph price prediction 2026-2032: Will GRT recapture its ATH?

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...
Frontiers

Multi-perspective hotel operation process anomaly prediction method based on graph transformer and autoencoder

Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...
IEEE

Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning

Abstract: Financial time series prediction is an important and challenging data mining task for quantitative investment. The inherent non-linearity, high noise, and susceptibility to various factors, ...
Frontiers

OFGPMA: Optimal frequency graph representation learning for pseudogene and miRNA association prediction

1 College Information Science and Engineering, Wuchang Shouyi University, Wuhan, China 2 College of Information Engineering, Wuhan Huaxia Institute of Technology, Wuhan, China Pseudogenes are genomic ...
IEEE

Spatiotemporal Graph Mixture of Experts for Highway Traffic Flow Prediction

Abstract: With excellent learning ability, the pretrained large model is challenging the mainstream traffic prediction paradigm. However, the pretraining process of large spatiotemporal models still ...
Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...
GitHub

MIRAI : Evaluating LLM Agents for Event Forecasting

@misc{ye2024miraievaluatingllmagents, title={MIRAI: Evaluating LLM Agents for Event Forecasting}, author={Chenchen Ye and Ziniu Hu and Yihe Deng and Zijie Huang and Mingyu Derek Ma and Yanqiao Zhu and ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...
C&EN

Designing Buchwald–Hartwig Reaction Graph for Yield Prediction

State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, P. R. China State Key Laboratory of Fine Chemicals, ...