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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
An alternative approach to train neural networks using monotone variational inequality Chen Xu Xiuyuan Cheng Yao Xie 42 1 0 17 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 142 83 0 17 Feb 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 68 4 0 17 Feb 2022
Heuristic Adaptability to Input Dynamics for SpMM on GPUs Guohao Dai Guyue Huang Shang Yang Zhongming Yu Hengrui Zhang Yufei Ding Yuan Xie Huazhong Yang Yu Wang 44 20 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 88 22 0 17 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 66 18 0 17 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie Zhao Xu Shuiwang Ji SSL 70 33 0 16 Feb 2022
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery Zhaocheng Zhu Chence Shi Zuobai Zhang Shengchao Liu Minghao Xu ... Chang Ma Runcheng Liu Louis-Pascal Xhonneux Meng Qu Jian Tang OOD VLM MedIm 42 72 0 16 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 84 233 0 16 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 122 86 0 16 Feb 2022
A Review of Topological Data Analysis for Cybersecurity T. Davies 45 3 0 16 Feb 2022
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations Tao Wang Jun Hao Liew Yu Li Yunpeng Chen Jiashi Feng ISeg 47 2 0 15 Feb 2022
Modular multi-source prediction of drug side-effects with DruGNN P. Bongini F. Scarselli Monica Bianchini Giovanna Maria Dimitri Niccolò Pancino Pietro Lio 34 18 0 15 Feb 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 124 88 0 15 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Helen Zhou 105 203 0 15 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 94 6 0 15 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 119 227 0 14 Feb 2022
A Graphical Approach For Brain Haemorrhage Segmentation N. Mehendale Pragya Gupta Nishant Rajadhyaksha Ansh Dagha Mihir Hundiwala Aditi Paretkar Sakshi Chavan Tanmay Mishra 36 2 0 14 Feb 2022
Random Laplacian Features for Learning with Hyperbolic Space Tao Yu Chris De Sa 59 8 0 14 Feb 2022
Conditional Generation Net for Medication Recommendation Rui Wu Zhaopeng Qiu Jiacheng Jiang Guilin Qi Xian Wu 70 93 0 14 Feb 2022
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection Yufan Zeng Jiashan Tang 57 2 0 14 Feb 2022
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network Mohammadreza Radmanesh Hossein Ghorbanzadeh Ahmad Asgharian Rezaei Mahdi Jalili Xinghuo Yu 31 4 0 13 Feb 2022
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction Jia-Xuan Bai Jie Guo Chenchen Wang Zhenyu Chen Zhen He Shan Yang Piaopiao Yu Yan Zhang Yanwen Guo 3DV 76 12 0 13 Feb 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks Yifei Zhang Hao Zhu Ziqiao Meng Piotr Koniusz Irwin King 99 32 0 13 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Helen Zhou 65 21 0 13 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network Yajing Liu Zhengya Sun Wensheng Zhang 64 28 0 12 Feb 2022
Detecting out-of-context objects using contextual cues Manoj Acharya Anirban Roy K. Koneripalli Susmit Jha Christopher Kanan Ajay Divakaran 36 5 0 11 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 78 13 0 11 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 111 12 0 10 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 79 44 0 10 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 80 48 0 08 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 91 24 0 08 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs Ciwan Ceylan Petra Poklukar Hanna Hultin Alexander Kravchenko Anastasia Varava Danica Kragic 66 1 0 08 Feb 2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation Yuntao Du Xinjun Zhu Lu Chen Ziquan Fang Yunjun Gao VLM OffRL 66 50 0 08 Feb 2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Yaohua Wang Yaobin Zhang Fangyi Zhang Ming-Ching Lin Yuqi Zhang Senzhang Wang Xiuyu Sun CVBM 93 29 0 08 Feb 2022
Rethinking Graph Convolutional Networks in Knowledge Graph Completion Zhanqiu Zhang Jie Wang Jieping Ye Feng Wu GNN 79 67 0 08 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing Hyeokjin Kwon Jong-Min Lee 53 0 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 74 3 0 07 Feb 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning Yingying He Chaojie Wang Hao Zhang Bo Chen Mingyuan Zhou 74 5 0 07 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 125 28 0 07 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 144 258 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 69 38 0 07 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 95 22 0 05 Feb 2022
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification Xiaohe Li Lijie Wen Yawen Deng Fuli Feng Xuming Hu Lei Wang Zide Fan 139 21 0 05 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 77 2 0 05 Feb 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation Mengyue Hang Tobias Schnabel Longqi Yang Jennifer Neville 41 6 0 04 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 88 27 0 04 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 117 115 0 04 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 96 113 0 04 Feb 2022
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems Massimiliano Lupo Pasini Pei Zhang S. Reeve Jong Youl Choi AI4CE 32 19 0 04 Feb 2022