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cs.LG2025
Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving
Chengying Huan, Ziheng Meng, Yongchao Liu +11
Graph Chain-of-Thought (Graph-CoT) enables large language models (LLMs) to perform step-by-step reasoning over graph-structured knowledge, but existing pipelines suffer from low ac…
cs.LG2025
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs
Xiabao Wu, Yongchao Liu, Wei Qin +1
Graph neural networks (GNNs) have delivered remarkable results in various fields. However, the rapid increase in the scale of graph data has introduced significant performance bott…