Abstract: Graph Self-Supervised Learning (GSSL) has emerged as a powerful paradigm for generating high-quality representations for graph-structured data. While multi-scale graph contrastive learning ...

Abstract: In recent years, Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graph-structured data, achieving significant success across various fields. Most existing GNNs ...

To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...

Ponzi-style MLM smart contracts pay commissions exclusively from new participant deposits rather than external revenue, creating an inevitable collapse once recruitment slows. Hidden backdoors, such ...

Cloud computing has significantly evolved over the last couple of decades since its inception, and businesses have continuously refined their cloud adoption journey to balance innovation with ...

An electronic warfare (EW) team in a hide site deep in the woods notices a suspected enemy frequency. At the same time, an aerial EW platform using the same equipment finds the same signal. With both ...

Programming industrial robots is a labor-intensive process that often depends on teach pendants, offline tools, and trial-and-error. Coordinating multiple robots in ...