knowledge graph
PulseAugur coverage of knowledge graph — every cluster mentioning knowledge graph across labs, papers, and developer communities, ranked by signal.
- 2026-05-19 research_milestone A new paper proposes a framework for inferring and defending against sensitive attribute inference from knowledge graph embeddings. source
17 day(s) with sentiment data
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New models improve LLM reasoning evaluation and control over internal states
Researchers have developed a new framework to minimize "collateral damage" in activation steering for large language models (LLMs), which aims to control model behavior without negatively impacting performance on unrela…
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STEM framework enhances knowledge graph reasoning with structure-tracing evidence mining
Researchers have introduced STEM, a new framework designed to enhance knowledge graph-based question answering. This approach tackles challenges related to the structural heterogeneity of knowledge graphs and the lack o…
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Study reveals catastrophic forgetting in knowledge graph embeddings is underestimated
Researchers have identified a significant issue in evaluating Continual Knowledge Graph Embedding (CKGE) methods, termed 'entity interference.' This phenomenon occurs when new entities introduced into a knowledge graph …