EvoGraph-R1: The Knowledge Graph That Edits Itself (CVPR 2026)
EvoGraph-R1 treats a knowledge graph as a workspace agents edit — retrieve, reason, then write back new nodes, corrected edges, and multimodal hyperedges — so every query leaves the graph slightly smarter.
Where this fits in Mixpeek
Mixpeek builds structure over unstructured data — taxonomies, clusters, and relationships derived from multimodal content. A self-evolving graph that agents update as they retrieve maps onto Mixpeek's taxonomy and clustering surfaces: enrichment that improves with use, and multimodal hyperedges that keep a chart and its explaining text in one relation rather than as disconnected chunks.
About this research
GraphRAG usually treats the knowledge graph as a static file: built offline, queried in one pass, wrong forever. EvoGraph-R1 treats it as a workspace agents edit: retrieve, reason, then write back new nodes, corrected edges, and multimodal hyperedges that keep a chart and the paragraph explaining it in one relation. Every query leaves the graph slightly smarter. Paper: arxiv.org/abs/2607.12764
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Mixpeek turns video, images, audio, and documents in your object storage into searchable, timestamped results through one API — the retrieval stack these papers describe.
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