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cs.LG2026
A Dependency-Aware Multi-GPU Training Framework for Temporal Graph Neural Networks
Yang Zhao, Yue Dai, Liang Qiao +8
Temporal graph neural networks (TGNNs) achieve superior performance in many dynamic graph learning tasks. These models use node state vectors (i.e., memories) to capture and record…
cs.AR2026
FAPO: Fanout-Aware Post-Mapping Optimization for LUT-Based FPGAs
Xiaoyu Hao, Keren Zhu
Reducing logic depth during FPGA technology mapping can leave fanout bottlenecks in the resulting LUT network. LUT replication redistributes these loads but consumes area and incre…