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 ...
The increasing demand for memory in AI data centers has been pointed out for some time, and in October 2025, it was predicted that 'SSD and memory prices will rise and supply shortages will continue ...
The examination serves as the gateway for admission to the D.El.Ed (General) and D.El.Ed (Sanskrit) teacher training programmes across Rajasthan Vardhaman Mahavir Open University (VMOU) has commenced ...
Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
Abstract: The integration of temporal features and correlations across time series has emerged as an effective strategy in time series prediction. Spatial-Temporal Graph Neural Networks (STGNNs) have ...
Abstract: Graph anomaly detection attracts considerable interest across a variety of application domains, including fraud detection within social networks, identifying money laundering activities in ...
python=3.11.5 torch_geometric>=2.5.0 torch>=2.2.0 scikit-learn>=1.3.0 POT>=0.9.5 2. Although PreGC does not rely on task labels during the condensation process, the calculation of the condensation ...
This is our Tensorflow implementation for the paper: Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu and Tat-Seng Chua (2019). KGAT: Knowledge Graph Attention Network for Recommendation. Paper in ACM DL ...
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