Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks Jianxin Li Hao Peng Dongyuan Li Yingtong Dou Hekai Zhang Philip S. Yu Lifang He 30 80 0 16 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 38 115 0 16 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
Variational Co-embedding Learning for Attributed Network Clustering Shuiqiao Yang Sunny Verma Borui Cai Jiaojiao Jiang Kun Yu Fang Chen Shui Yu 37 30 0 15 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 37 77 0 14 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 33 119 0 14 Apr 2021
Generative Causal Explanations for Graph Neural Networks Wanyu Lin Hao Lan Baochun Li CML 36 173 0 14 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices Zhe Zhou Bizhao Shi Zhe Zhang Yijin Guan Guangyu Sun Guojie Luo GNN 36 32 0 13 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 39 31 0 13 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation A. Lamb Evgeny S. Saveliev Yingzhen Li Sebastian Tschiatschek Camilla Longden Simon Woodhead José Miguel Hernández-Lobato Richard Turner Pashmina Cameron Cheng Zhang OOD 20 6 0 12 Apr 2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads E. Georganas Dhiraj D. Kalamkar Sasikanth Avancha Menachem Adelman Deepti Aggarwal ... Ramanarayan Mohanty Hans Pabst Brian Retford Barukh Ziv A. Heinecke 39 17 0 12 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 33 0 0 12 Apr 2021
Better Feature Integration for Named Entity Recognition Lu Xu Zhanming Jie Wei Lu Lidong Bing 29 37 0 12 Apr 2021
Accelerating science with human versus alien artificial intelligences J. Sourati James A. Evans 16 6 0 12 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 29 10 0 10 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks H. Sahbi 3DH GNN 21 3 0 09 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 31 74 0 08 Apr 2021
Graph Attention Networks for Anti-Spoofing Hemlata Tak Jee-weon Jung J. Patino Massimiliano Todisco Nicholas W. D. Evans 49 66 0 08 Apr 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels Qingqing Long Yilun Jin Yi Wu Guojie Song 44 37 0 07 Apr 2021
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm Alan J. X. Guo Qing-Hu Hou Ou Wu 27 0 0 05 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy Physics A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 24 6 0 05 Apr 2021
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction Liushuai Shi Le Wang Chengjiang Long Sanping Zhou Mo Zhou Zhenxing Niu G. Hua 38 218 0 04 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 51 34 0 03 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation Rongjie Li Songyang Zhang Bo Wan Xuming He 196 214 0 01 Apr 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 42 40 0 27 Mar 2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture Ryan Kortvelesy Amanda Prorok 39 24 0 24 Mar 2021
$Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes$ Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes Shuai Shen Wanhua Li Zheng Zhu Guan Huang Dalong Du Jiwen Lu Jie Zhou CVBM GNN 26 39 0 24 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 119 0 23 Mar 2021
A Comprehensive Survey of Scene Graphs: Generation and Application Xiaojun Chang Pengzhen Ren Pengfei Xu Zhihui Li Xiaojiang Chen Alexander G. Hauptmann 3DV 35 223 0 17 Mar 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 19 318 0 16 Mar 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph Xinliang Wu Mengying Jiang Guizhong Liu GNN 30 7 0 14 Mar 2021
DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback Sarina Sajadi Ghaemmaghami Amirali Salehi-Abari FedML 48 2 0 13 Mar 2021
Inductive Relation Prediction by BERT H. Zha Zhiyu Zoey Chen Xifeng Yan 29 54 0 12 Mar 2021
Holistic 3D Scene Understanding from a Single Image with Implicit Representation Cheng Zhang Zhaopeng Cui Yinda Zhang B. Zeng Marc Pollefeys Shuaicheng Liu 38 104 0 11 Mar 2021
Time-Ordered Recent Event (TORE) Volumes for Event Cameras R. W. Baldwin Ruixu Liu Mohammed Almatrafi V. Asari Keigo Hirakawa AI4TS 30 108 0 10 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Scalable Hypergraph Embedding System Sepideh Maleki Donya Saless Dennis Paul Wall K. Pingali GNN 21 5 0 09 Mar 2021
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks Christian Schiffer Stefan Harmeling Katrin Amunts Timo Dickscheid 3DH 3DV 21 2 0 09 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 40 108 0 08 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 30 33 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
Simplicial Complex Representation Learning Mustafa Hajij Ghada Zamzmi Theodore Papamarkou Vasileios Maroulas X. Cai 35 18 0 06 Mar 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network Yonghong Luo Chao Lu Lipeng Zhu Jie Song 39 57 0 05 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 36 18 0 05 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 32 29 0 05 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021