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.

arxiv diffusion graph link prediction network prediction

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote