To classify nodes in a newly-collected unlabeled graph, it is desirable to transfer label information from an existing labeled graph. To address this cross-graph node classification problem, we ...

Graph embedding aims at learning vertex representations in a low-dimensional space by distilling information from a complex-structured graph. Recent efforts in graph embedding have been devoted to ...

"We had a big, I don't know, existential crisis among students a few years back," Jure Leskovec told Fortune, "when it kind ...

Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of ...

Domain Adversarial Graph Convolutional network (DAGCN) This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

Agile rituals are great, but without tracking constraints and dependencies live, your transformation will stall.

In this paper, we study graph contrastive learning in the context of biomedical domain, where molecular graphs are present. We propose a novel framework called MoCL, which utilizes domain knowledge at ...

Alarm has turned to extreme despair on many operations. On Sept. 2, 2025, a telltale farm meeting went nuclear. Field ...

On Wednesday, Trump said the US may have to "unwind" existing trade deals, including with the European Union, Japan, and South Korea, if the Supreme Court doesn't uphold the tariffs.

斯坦福大学（Stanford University）计算机科学教授尤雷·莱斯科夫对日新月异的技术变革并不陌生。莱斯科夫教授是拥有近三十年经验的机器学习研究者，执教近二十年，他同时也是迄今为止已融资3,700万美元的初创公司Kumo的联合创始人。

US Treasury Secretary Scott Bessent said Monday he is confident the Supreme Court will back President Trump's use of a 1977 emergency law to impose broad tariffs, but noted the administration has ...

Missense variants in the O-GlcNAc transferase ( OGT) gene have recently been shown to segregate with a syndromic form of intellectual disability (OGT-ID), underscoring the importance of protein ...