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25 de abr. de 2024 · Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.
6 de may. de 2024 · Abstract. Recommending products to users with intuitive explanations helps improve the system in transparency, persuasiveness, and satisfaction. Existing interpretation techniques include post-hoc methods and interpretable modeling. The former category could quantitatively analyze input contribution to model prediction but has ...
17 de abr. de 2024 · Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014. Deepwalk: Online learning of social representa tions. pages 701–710. Google Scholar Digital Library; Yang Ye and Shihao Ji. Sparse graph attention networks. 2021. IEEE Transactions on Knowledge and Data Engineering, 35(1):905–916. Google Scholar Cross Ref
Hace 22 horas · DOI: 10.1145/3589334.3645480 Corpus ID: 269712393; Graph Contrastive Learning Reimagined: Exploring Universality @article{Zhuo2024GraphCL, title={Graph Contrastive Learning Reimagined: Exploring Universality}, author={Jiaming Zhuo and Can Cui and Kun Fu and Bingxin Niu and Dongxiao He and Chuan Wang and Yuanfang Guo and Zhen Wang and Xiaochun Cao and Liang Yang}, journal={Proceedings of the ...
25 de abr. de 2024 · Abstract. Graph neural networks have emerged as a specialized branch of deep learning, designed to address problems where pairwise relations between objects are crucial. Recent advancements utilize graph convolutional neural networks to extract features within graph structures.
Hace 22 horas · Download Citation | On May 13, 2024, Tianxiang Zhao and others published Disambiguated Node Classification with Graph Neural Networks | Find, read and cite all the research you need on ResearchGate
6 de may. de 2024 · Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi: TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR abs/2308.13490 (2023)
