When you log onto LinkedIn, you're normally presented with suggestions to connect with people you know, either because you ...

This logarithmic graph reveals where your device can safely operate without failure. Figure 3. SOA graph depicting the operating boundaries of the EPC2001 eGaN FET. (Image: Efficient Power Conversion ...

A logarithmic graph showing the timeline of how transistor counts in microchips are almost doubling every two years from 1970 to 2020; Moore’s Law.

— PlanC (@TheRealPlanC) April 30, 2025 The study plots Bitcoin’s price on a logarithmic graph, showing a linear relationship that reflects long-term growth driven by network dynamics. This pattern is ...

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation (WWW-2025). This is a PyTorch implementation of the GraphATA algorithm, which tries to address the ...

Second harmonic generation (SHG) measurements using SHG-active dye molecules have recently attracted attention as a method to detect the formation of pores in phospholipid bilayers. The bilayers, in ...

The proposed method includes a multi-scale frequency domain feature extraction module, which uses 1-D channel convolutions of different scales to extract multi-scale frequency domain features.

In conclusion, researchers introduced GraphAide, which represents a significant advancement in the utilization of LLMs for domain-specific digital assistants. Its innovative approach combines KG ...

Existing graph level anomaly detection methods are predominantly unsupervised due to high costs for obtaining labels, yielding sub-optimal detection accuracy when compared to supervised methods.