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GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction. (arXiv:2210.01301v2 [cs.LG] UPDATED)
Oct. 12, 2022, 1:13 a.m. | Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Hai Jin, Biao Wang, Ting Yu
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model.
This model generalizes graph diffusion in different feature spaces, and uses
the inception module to avoid the large amount of computations caused by
complex network structures. We evaluate GIDN model on Open Graph Benchmark(OGB)
datasets, reached an 11% higher performance than AGDN on ogbl-collab dataset.
More from arxiv.org / cs.LG updates on arXiv.org
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