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From the 1 of 8 linked papers with an AI index.

most citedA2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning

1 citations · 1 across the 4 of their papers we have counts for

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cs.DB2026

RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning

Wei Huang, Hanchen Wang, Dong Wen +4

Identifying the most frequent induced subgraph of size in a target graph is a fundamental graph mining problem with direct implications for Web-related data mining and social n…