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ProtoGLAD Enables Interpretable Graph Anomalies

ProtoGLAD Enables Interpretable Graph Anomalies

ProtoGLAD detects graph-level anomalies by contrasting with nearest normal prototype graphs discovered via point-set kernels. It iteratively clusters normal graphs for unsupervised detection. Provides human-interpretable explanations outperforming black-box methods.

ArXiv AIResearchFeb 12#research#protoglad#v1
Anthropic Targets a Record-Breaking IPO

Anthropic Targets a Record-Breaking IPO

Anthropic reportedly expects its IPO to match or exceed SpaceX's record $75 billion raise and could file publicly as soon as the end of this month. The company reportedly recorded an almost $42 billion net loss in 2025, about five times the previous year's figure.

The Next Web (TNW)Media57m ago#ipo#frontier-ai#fundraising