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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Huijun Tang

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2026

SIHAN: Semantic-Instance Guided Hypergraph Attention Network With Dual-View Contrastive Learning for Heterogeneous Graph

Heterogeneous graphs are well-suited to modeling the diverse types of entities and their complex interactions in the real world. However, existing Heterogeneous Graph Neural Networks (HGNNs) are typically based on the binary message-passing framework, which struggles to explicitly and finely describe the higher-order s...

Shu-Juan Wei, Hui-Jun Tang, Peng-Fei Jiao et al. · 0 citations
Conference Open access 2026

What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling

This work identifies the Logit Conflation Problem, where a to-ken’s logit aggregates prompt-independent factors, including linguistic fluency and parametric associations, with prompt-relevance, and proposes SEAL-Sampling to isolate this component through attention-weighted attribution.

Pinlong Zhao, Huijun Tang, Pengfei Jiao et al. · 0 citations

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