Event-Causal RAG segments videos into events represented as SES graphs, merges them into a causal knowledge graph, and uses bidirectional retrieval to supply relevant event chains to a video foundation model for improved long-video question answering.
ViG-RAG: Video-aware graph retrieval-augmented generation via temporal and semantic hybrid reasoning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Event-Causal RAG: A Retrieval-Augmented Generation Framework for Long Video Reasoning in Complex Scenarios
Event-Causal RAG segments videos into events represented as SES graphs, merges them into a causal knowledge graph, and uses bidirectional retrieval to supply relevant event chains to a video foundation model for improved long-video question answering.