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 ...
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, ...
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 ...
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 ...
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 ...
We provide script agent_evaluation/eval.py for evaluating the forecasting performance of the LLM agents. It has the same arguments as the react_agent.py and direct_agent.py scripts, with the ...
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 ...
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results