Deploying dynamic heterogeneous graph embeddings in production faces key challenges of scalability, data freshness, and cold-start. This paper introduces a practical, two-stage solution that balances deep graph representation with low-latency incremental updates. Our framework combines HetSGFormer, a scalable graph tra...
Ma-Biao Long, Jia-Xi Liu, Yu-Feng Li et al.· IEEE Transactions on Knowled...· 0 citations
Similar agent skills can share instructions but differ in their conditions of use. Query-based text selection may retain shared instructions and omit these distinctions. We introduce SkillContrast, a training-free selector that compares retrieved skills and retains their differing text with local context for a pretrain...
Jian-Dong Ding, Hong-Lei Ji, Ming Liu et al.· 0 citations
SameCapRisk-Bench is introduced, an auditable benchmark with 1,190 skill-risk units and 1,686 evaluation query cases: 694 marked-sibling units under public library pressure and 496 hard role-flip units where the same two skills swap helpful/risky roles across paired queries.
Jian-Dong Ding, Hong-Lei Ji, Ming Liu et al.· 0 citations
SIDScope is a source-traced diagnostic resource that supports decisions about artifact readiness, interface risks, and revalidation before model reuse, and provides frozen evidence summaries, conformance reports, trace labels, table builders, and CPU-only verifiers.
Jiandong Ding, Huijie Qin, Tiandeng Wu et al.· 0 citations
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