7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale
Congmin Min, Sahil Bansal, Joyce Pan +3
We propose a scalable and cost-efficient framework for deploying Graph-based Retrieval-Augmented Generation (GraphRAG) in enterprise environments. While GraphRAG has shown promise…
cs.CV2020★ 7 cited
Video Contents Understanding using Deep Neural Networks
Mohammadhossein Toutiaee, Abbas Keshavarzi, Abolfazl Farahani +1
We propose a novel application of Transfer Learning to classify video-frame sequences over multiple classes. This is a pre-weighted model that does not require to train a fresh CNN…