Beyond Localized Graph Neural Networks: An Attributed Motif
Regularization Framework

Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework

11 September 2020

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Papers citing "Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework"

18 / 18 papers shown

Title
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation Aravind Sankar Yanhong Wu Yuhang Wu Wei Zhang Hao Yang Hari Sundaram AI4TS 123 94 0 05 Jun 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 131 582 0 04 Feb 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction Aravind Sankar Xinyang Zhang A. Krishnan Jiawei Han GNN 74 82 0 01 Jan 2020
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 58 38 0 22 Aug 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 98 498 0 11 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 161 199 0 05 Jun 2019
Heterogeneous Network Motifs Ryan A. Rossi Nesreen Ahmed Aldo G. Carranza David Arbour Anup B. Rao Sungchul Kim Eunyee Koh 84 23 0 28 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,291 0 16 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 807 8,597 0 03 Jan 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 173 1,366 0 14 Nov 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,399 0 27 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 355 2,675 0 20 Aug 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 520 1,991 0 09 Jun 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 154 1,431 0 24 Mar 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 199 2,839 0 22 Jan 2018
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 247 2,410 0 23 Dec 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 198 10,924 0 03 Jul 2016
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 240 4,884 0 21 Dec 2013

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