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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy Qiuchen Zhang Hong kyu Lee Jing Ma Jian Lou Carl Yang Li Xiong 63 13 0 10 Oct 2022
Using Gradient to Boost the Generalization Performance of Deep Learning Models for Fluid Dynamics Eduardo Vital Brasil OOD AI4CE 62 0 0 09 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 181 13 0 08 Oct 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 76 0 0 08 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 77 2 0 08 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 151 8 0 08 Oct 2022
Relational Message Passing for Fully Inductive Knowledge Graph Completion Yuxia Geng Jiaoyan Chen Jeff Z. Pan Yin Hua Song Jiang Wen Zhang Hua-zeng Chen 136 37 0 08 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs Silvia Beddar-Wiesing Giuseppe Alessio D’Inverno C. Graziani Veronica Lachi Alice Moallemy-Oureh F. Scarselli J. M. Thomas 70 10 0 08 Oct 2022
Robust Graph Structure Learning via Multiple Statistical Tests Yaohua Wang Fangyi Zhang Ming Lin Senzhang Wang Xiuyu Sun Rong Jin 85 1 0 08 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 162 95 0 08 Oct 2022
Label Propagation with Weak Supervision Rattana Pukdee Dylan Sam Maria-Florina Balcan Pradeep Ravikumar 87 9 0 07 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 144 64 0 07 Oct 2022
Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang Xiao Wang Chuan Shi Le Song 173 35 0 06 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 98 3 0 06 Oct 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering Mingxuan Ju Wenhao Yu Tong Zhao Chuxu Zhang Yanfang Ye 122 24 0 06 Oct 2022
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting Le Zhao Mingcai Chen Yuntao Du Haiyang Yang Chongjun Wang GNN AI4TS 36 4 0 06 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu Xiao Wang Deyu Bo Chuan Shi Jian Pei 73 69 0 05 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 109 5 0 05 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Lirong Wu Jun Xia Haitao Lin Zhangyang Gao Zicheng Liu Guojiang Zhao Stan Z. Li 151 6 0 05 Oct 2022
Graph Classification via Discriminative Edge Feature Learning Yang Yi Xuequan Lu Shang Gao A. Robles-Kelly Yuejie Zhang GNN 84 7 0 05 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 78 37 0 05 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 73 13 0 05 Oct 2022
Generative Models and Learning Algorithms for Core-Periphery Structured Graphs Sravanthi Gurugubelli S. Chepuri CML 24 2 0 04 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 65 3 0 03 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 141 73 0 03 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 73 3 0 03 Oct 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples Wei Duan Junyu Xuan Maoying Qiao Jie Lu SSL 68 39 0 03 Oct 2022
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic Prediction Ying-Hung Pu AI4TS 21 0 0 03 Oct 2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation Yuecen Wei Xingcheng Fu Qingyun Sun Hao Peng Hongzhi Zhang Jinyan Wang Xianxian Li 95 13 0 02 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 125 59 0 02 Oct 2022
Heterogeneous Graph Contrastive Multi-view Learning Zehong Wang Qi Li Donghua Yu Xiaolong Han Xiaohong Gao Shigen Shen 93 34 0 01 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 69 8 0 01 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 162 39 0 30 Sep 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 75 1 0 30 Sep 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 133 85 0 30 Sep 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 113 2 0 30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 135 60 0 30 Sep 2022
Efficient Graph based Recommender System with Weighted Averaging of Messages Faizan Ahemad 28 1 0 30 Sep 2022
Improving Molecular Pretraining with Complementary Featurizations Yanqiao Zhu Dingshuo Chen Yuanqi Du Yingze Wang Qiang Liu Shu Wu AI4CE 77 7 0 29 Sep 2022
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas Garg 153 62 0 29 Sep 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges Hwan Kim Byung Suk Lee Won-Yong Shin Sungsu Lim GNN 78 74 0 29 Sep 2022
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 84 38 0 29 Sep 2022
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs Meng Qin Chao Zhang Bo Bai Gong Zhang Dit-Yan Yeung 63 2 0 29 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 91 3 0 29 Sep 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 81 7 0 28 Sep 2022
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks Chau Pham Trung D. Q. Dang Peter Chin 104 1 0 28 Sep 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan Xiao Wang Yanhu Mo Chuan Shi Jian Tang CML OOD AI4CE 134 97 0 28 Sep 2022
Efficient block contrastive learning via parameter-free meta-node approximation Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 90 3 0 28 Sep 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang Yuanhao Xiong Minhao Cheng Cho-Jui Hsieh 102 5 0 27 Sep 2022
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning Alexander Campbell A. Zippo L. Passamonti N. Toschi Pietro Lio 74 5 0 27 Sep 2022