PyAGC is presented, a comprehensive, production-ready benchmark and library designed to stress-test AGC methods across diverse scales and structural properties and advocates for a holistic evaluation protocol that mandates unsupervised structural metrics and efficiency profiling alongside traditional supervised metrics...
Attributed graph clustering aims to discover node groups by jointly exploiting node attributes and graph topology, yet its unsupervised nature makes model selection and adaptation inherently difficult. Existing methods typically train and tune a separate model for each input graph, leading to costly and fragile pipelin...
Yunhui Liu, Xu-Dong Jin, Kang Zhang et al.· 1 citation
CoDA is introduced, a lightweight inference-time attention intervention that amplifies evidence-aligned value states, enabling more attention heads to transport reliable external evidence in a copy-encouraged manner and improves contextual faithfulness, reduces hallucination, and remains robust under long and noisy con...
Jinwei Shi, Qizhuo Xie, Qianzi Hou et al.· Annual Meeting of the Associ...· 0 citations
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