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Temporal KGs are a clear growth cell: time-aware embeddings and event-driven updates as frontiers. Models, trade-offs, production patterns.
A GQL-style language traces cyber attacks across provenance graphs of audit events — the pattern, a worked example, and what it means for practitioners.
The 2026 agent-memory wave is graph-shaped: persona graphs, experience graphs, self-evolution, and benchmarks proving graph memory beats flat lists.
GraphRAG left "can it work?" and entered "can you trust it?": benchmarks, robustness to knowledge poisoning, and attacks now hitting graphs.
How to squeeze frontier MoE models like Kimi K2.6 and GLM 5.2 onto GPU memory: quantised KV caches double context, INT4 weights cut checkpoint size 40%, and page-level integrity checks protect shared caches. With real SGLang configs and benchmarks.
Agentic GraphRAG is the fastest-moving corner of graph research in 2026. This article breaks down the pattern taxonomy — tool-calling, RL-trained…