Deep Feature Learning for Graphs

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Deep Feature Learning for Graphs

28 April 2017

Ryan A. Rossi

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Papers citing "Deep Feature Learning for Graphs"

17 / 17 papers shown

Title
PropEnc: A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 82 0 0 17 Sep 2024
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan Eunyee Koh Nesreen Ahmed GNN 80 11 0 28 Dec 2022
Graph Learning with Localized Neighborhood Fairness April Chen Ryan Rossi Nedim Lipka Jane Hoffswell G. Chan Shunan Guo Eunyee Koh Sungchul Kim Nesreen K. Ahmed FaML 58 6 0 22 Dec 2022
A Brief Survey on Representation Learning based Graph Dimensionality Reduction Techniques A. Akella 28 0 0 13 Oct 2022
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Qingyun Sun Hao Peng Jianxin Li Senzhang Wang Xiangyu Dong Liangxuan Zhao Philip S. Yu Lifang He 102 21 0 30 Aug 2020
On Node Features for Graph Neural Networks Chi Thang Duong Thanh Dat Hoang Haikun Dang Quoc Viet Hung Nguyen Karl Aberer GNN 48 46 0 20 Nov 2019
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 65 38 0 22 Aug 2019
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis Guixiang Ma Nesreen Ahmed Theodore L. Willke D. Sengupta Michael W. Cole Nicholas B. Turk-Browne Pratik Shah MedIm 72 8 0 02 Nov 2018
Network Classification Based Structural Analysis of Real Networks and their Model-Generated Counterparts Marcell Nagy Roland Molontay GNN 32 5 0 19 Oct 2018
LinkNBed: Multi-Graph Representation Learning with Entity Linkage Rakshit S. Trivedi Bunyamin Sisman Jun Ma Christos Faloutsos H. Zha Xin Luna Dong 58 44 0 23 Jul 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 97 539 0 05 Jun 2018
Predicting Graph Categories from Structural Properties James P. Canning Emma E. Ingram Sammantha Nowak-Wolff Adriana M. Ortiz Nesreen Ahmed Ryan A. Rossi Karl R. B. Schmitt S. Soundarajan 43 10 0 07 May 2018
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings Saba A. Al-Sayouri Ekta Gujral Danai Koutra Evangelos E. Papalexakis Sarah S. Lam 31 9 0 03 May 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 91 96 0 07 Feb 2018
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 127 625 0 04 Dec 2017
Inductive Representation Learning in Large Attributed Graphs Nesreen Ahmed Ryan A. Rossi R. Zhou J. B. Lee Xiangnan Kong Theodore L. Willke Hoda Eldardiry 40 4 0 25 Oct 2017
A Framework for Generalizing Graph-based Representation Learning Methods Nesreen Ahmed Ryan A. Rossi R. Zhou J. B. Lee Xiangnan Kong Theodore L. Willke Hoda Eldardiry 74 20 0 14 Sep 2017