SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph
Representation Learning

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

6 March 2023

Papers citing "SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning"

9 / 9 papers shown

Title
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 53 4 0 31 Dec 2024
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 10 1 0 28 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 18 1 0 07 Dec 2023
Revisiting Link Prediction: A Data Perspective Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang 41 22 0 01 Oct 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern H. Menze GNN 6 7 0 25 Mar 2023
Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong Yixin Chen Muhan Zhang GNN AI4CE 77 21 0 06 Oct 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 35 75 0 30 Sep 2022
Improving Subgraph Representation Learning via Multi-View Augmentation Yili Shen Xiao Liu C. Ju Jia-Wei Yan Jun Yi Zhou Lin Hui Guan 34 2 0 25 May 2022
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 56 51 0 16 Oct 2021