61 citations · 68 across the 6 of their papers we have counts for
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cs.DC2026
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
Peng Fang, Arijit Khan, Ziqiang Wu +4
Graph embedding maps graph nodes into low-dimensional vectors to support applications such as recommendation, fraud detection, and graph-based retrieval-augmented generation (Graph…
cs.DC2023
Distributed Graph Embedding with Information-Oriented Random Walks
Peng Fang, Arijit Khan, Siqiang Luo +5
Graph embedding maps graph nodes to low-dimensional vectors, and is widely adopted in machine learning tasks. The increasing availability of billion-edge graphs underscores the imp…