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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