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Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning

1 March 2021

Papers citing "Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning"

48 / 48 papers shown

Title
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Hanyu Wang Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 68 178 0 17 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 102 166 0 14 Jun 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 84 66 0 20 Dec 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 154 986 0 06 Nov 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 112 97 0 11 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs Yin Hua Wen Zhang Wei Zhang Qiang Chen Huajun Chen KELM 148 188 0 04 Sep 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 63 44 0 31 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 126 1,416 0 29 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 70 231 0 23 May 2019
Learning What and Where to Transfer Yunhun Jang Hankook Lee Sung Ju Hwang Jinwoo Shin 75 151 0 15 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems Hongwei Wang Fuzheng Zhang Mengdi Zhang J. Leskovec Miao Zhao Wenjie Li Zhongyuan Wang 76 554 0 11 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 256 4,371 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 254 3,188 0 19 Feb 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 818 8,597 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,551 0 20 Dec 2018
Pre-training Graph Neural Networks with Kernels Nicoló Navarin D. V. Tran A. Sperduti 85 28 0 16 Nov 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 778 0 22 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
NSML: Meet the MLaaS platform with a real-world case study Hanjoo Kim Minkyu Kim Dongjoo Seo Jinwoong Kim Heungseok Park ... KyungHyun Kim Youngil Yang Youngkwan Kim Nako Sung Jung-Woo Ha 52 132 0 08 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 268 7,710 0 01 Oct 2018
One-Shot Relational Learning for Knowledge Graphs Wenhan Xiong Mo Yu Shiyu Chang Xiaoxiao Guo William Yang Wang 116 220 0 27 Aug 2018
Graph R-CNN for Scene Graph Generation Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh GNN 117 844 0 01 Aug 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 94 1,903 0 15 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 323 2,157 0 22 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 272 3,303 0 21 Mar 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie Minyi Guo 107 1,052 0 09 Mar 2018
NSML: A Machine Learning Platform That Enables You to Focus on Your Models Nako Sung Minkyu Kim Hyunwoo Jo Youngil Yang Jingwoong Kim ... Youngkwan Kim Gayoung Lee Donghyun Kwak Jung-Woo Ha Sunghun Kim 91 86 0 16 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 318 4,054 0 16 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 491 20,295 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 198 1,980 0 17 Sep 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 609 2,247 0 25 Jul 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 129 1,265 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 523 15,369 0 07 Jun 2017
Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou Matthew A. Brown Noah Snavely D. Lowe MDE 155 2,581 0 25 Apr 2017
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition Shubham Toshniwal Hao Tang Liang Lu Karen Livescu 96 116 0 05 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 307 8,164 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 843 11,961 0 09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 347 1,838 0 02 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 553 1,412 0 01 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 468 3,216 0 30 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 693 29,220 0 09 Sep 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 72 5,305 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 185 2,990 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 156 3,535 0 28 Mar 2016
DeepStereo: Learning to Predict New Views from the World's Imagery John Flynn Ivan Neulander James Philbin Noah Snavely 3DV 127 653 0 22 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 181 2,792 0 19 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,433 0 22 Dec 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 108 1,025 0 26 Jun 2014