While hierarchical structures are intrinsic to organizing human knowledge, current representation learning on text-attributed graphs predominantly operates on flat semantic spaces, overlooking the rich coarse-to-fine granularity inherent in real-world data. To bridge this gap, we propose SHiFT, which synergizes the rea...
Yunhui Liu, Xu-Dong Jin, Qizhuo Xie et al.· 0 citations
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...
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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