MILE: A Multi-Level Framework for Scalable Graph Embedding

26 February 2018

Jiongqian Liang

Saket Gurukar

Srinivas Parthasarathy

GNN

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Papers citing "MILE: A Multi-Level Framework for Scalable Graph Embedding"

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Title
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 112 0 0 28 Nov 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks Yuntian He Pranav Maneriker Anutam Srinivasan Aditya T. Vadlamani Srinivasan Parthasarathy 28 0 0 28 Oct 2024
The Role of Fibration Symmetries in Geometric Deep Learning Osvaldo Velarde Lucas Parra Paolo Boldi Hernan Makse FedML AI4CE 39 2 0 28 Aug 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 66 39 0 29 Jan 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning Xiaoxue Han Zhuo Feng Yue Ning CLL 12 1 0 05 Jan 2024
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training Charles Dickens E-Wen Huang Aishwarya N. Reganti Jiong Zhu Karthik Subbian Danai Koutra 27 6 0 24 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 21 2 0 08 Dec 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUs Brandon Mayer Anton Tsitsulin Hendrik Fichtenberger Jonathan J. Halcrow Bryan Perozzi GNN 13 1 0 26 Jul 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 20 0 0 25 Jun 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 Jan 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 18 8 0 20 Dec 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 21 2 0 17 Nov 2022
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment Jing Zhu Danai Koutra Mark Heimann 24 5 0 23 Aug 2022
Spectral Maps for Learning on Subgraphs Marco Pegoraro R. Marin Arianna Rampini Simone Melzi Luca Cosmo Emanuele Rodolà 12 2 0 30 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 62 14 0 21 May 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 13 1 0 29 Jan 2022
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods Md. Khaledur Rahman A. Azad AI4TS 22 3 0 20 Dec 2021
Learning Large-scale Network Embedding from Representative Subgraph Junsheng Kong Weizhao Li Ben Liao J. Qiu Chang-Yu Hsieh Hsieh Yijin Cai Jin-Hui Zhu Shengyu Zhang GNN 13 1 0 02 Dec 2021
REFINE: Random RangE FInder for Network Embedding Hao Zhu Piotr Koniusz 20 22 0 24 Aug 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 20 39 0 22 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 34 99 0 09 Jun 2021
Diversified Multiscale Graph Learning with Graph Self-Correction Yuzhao Chen Yatao Bian Jiying Zhang Xi Xiao Tingyang Xu Yu Rong Junzhou Huang 14 5 0 17 Mar 2021
Scalable Hypergraph Embedding System Sepideh Maleki Donya Saless Dennis Paul Wall K. Pingali GNN 16 5 0 09 Mar 2021
Discourse-level Relation Extraction via Graph Pooling I-Hung Hsu Xiaoyu Guo Premkumar Natarajan Nanyun Peng GNN AI4CE 42 11 0 01 Jan 2021
Graph Cross Networks with Vertex Infomax Pooling Maosen Li Siheng Chen Ya-Qin Zhang Ivor W. Tsang 13 58 0 05 Oct 2020
About Graph Degeneracy, Representation Learning and Scalability Simon Brandeis Adrian Jarret P. Sevestre 8 4 0 04 Sep 2020
Faster Graph Embeddings via Coarsening Matthew Fahrbach Gramoz Goranci Richard Peng Sushant Sachdeva Chi Wang 9 28 0 06 Jul 2020
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 30 105 0 06 Oct 2019
Parallel Computation of Graph Embeddings Chi Thang Duong Hongzhi Yin Thanh Dat Hoang Truong Giang Le Ba Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer GNN 9 2 0 06 Sep 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System Adam Lerer Ledell Yu Wu Jiajun Shen Timothée Lacroix Luca Wehrstedt Abhijit Bose A. Peysakhovich GNN 11 384 0 28 Mar 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang T. Tan GNN 11 7 0 13 Feb 2019