Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs

Author:

Zeng Juxiang1,Wang Pinghui2,Lan Lin1,Zhao Junzhou1,Sun Feiyang1,Tao Jing1,Feng Junlan2,Hu Min2,Guan Xiaohong1

Affiliation:

1. Xi'an Jiaotong University,MOEKLINNS Lab,Xi'an,P. R. China

2. JIUTIAN Team, China Mobile Research,Beijing,P. R. China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling;IEEE Transactions on Knowledge and Data Engineering;2024-09

2. Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

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