Author

Shujie Li

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#artificial intelligence Mar 2025

HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs

The HeTGB is introduced, a novel benchmark comprising five real-world heterophilic graph datasets from diverse domains, with nodes enriched by extensive textual descriptions that enables systematic evaluation of GNNs, pre-trained language models (PLMs) and co-training methods on the node classification task.

Shujie Li, Yuxia Wu, Chuan Shi et al. · arXiv.org · 5 citations · ⚡2

Preprint Aug 2026

When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation

A client-specific adaptation channel based on private prompt tokens, which tracks local adaptation dynamics separately from the shared backbone and provides a lightweight signal for detecting whether client adaptation remains active, and a shallow sufficiency estimator that combines cross-client semantic alignment, temporal interface stability, and prompt-state variation to estimate whether the shallowest split is already sufficient.

Wenhao Yuan, Chenchen Lin, Wentao Hu et al. · 0 citations