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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,545 papers shown

Title
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning Xiaobai Ma David Isele Jayesh K. Gupta K. Fujimura Mykel J. Kochenderfer 52 5 0 06 Mar 2022
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning Maya Kapoor Joshua Melton Michael Ridenhour Mahalavanya Sriram Thomas Moyer S. Krishnan 83 0 0 05 Mar 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks Minji Yoon John Palowitch Dustin Zelle Ziniu Hu Ruslan Salakhutdinov Bryan Perozzi 78 14 0 03 Mar 2022
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks Joshua Melton Michael Ridenhour S. Krishnan GNN 30 1 0 03 Mar 2022
Curvature Graph Generative Adversarial Networks Jianxin Li Xingcheng Fu Qingyun Sun Cheng Ji Jiajun Tan Hongzhi Zhang Hao Peng GAN 64 13 0 03 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks Yupeng Hou Binbin Hu Wayne Xin Zhao Qing Cui Jun Zhou Jianzhong Wen 109 9 0 03 Mar 2022
Graph Representation Learning Beyond Node and Homophily You Li Bei Lin Binli Luo Ning Gui SSL 87 16 0 03 Mar 2022
SegTAD: Precise Temporal Action Detection via Semantic Segmentation Chen Zhao Merey Ramazanova Mengmeng Xu Guohao Li 43 7 0 03 Mar 2022
Visual Feature Encoding for GNNs on Road Networks Oliver Stromann S. Razavi Michael Felsberg 35 0 0 02 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping Huang Jiulong Shan Zhi-Xin Yang Tengjiao Wang AAML 97 19 0 02 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 91 67 0 02 Mar 2022
Machine Learning Methods in Solving the Boolean Satisfiability Problem Wenxuan Guo Junchi Yan Hui-Ling Zhen Xijun Li Mingxuan Yuan Yaohui Jin NAI 65 38 0 02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 112 61 0 01 Mar 2022
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing Ruiying Lu Ziheng Cheng Bo Chen Xin Yuan 70 5 0 01 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 148 115 0 01 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 83 25 0 01 Mar 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 283 70 0 28 Feb 2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets Yu Shi Shuxin Zheng Guolin Ke Yifei Shen Jiacheng You Jiyan He Shengjie Luo Chang-Shu Liu Di He Tie-Yan Liu AI4CE 65 0 0 28 Feb 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications Menglin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King 73 56 0 28 Feb 2022
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks Yile Chen Xiucheng Li Gao Cong Cheng Long Z. Bao Shang Liu Wanli Gu Fuzheng Zhang 44 12 0 28 Feb 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 106 21 0 28 Feb 2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network Jian Kang Yangchun Zhu Yinglong Xia Jiebo Luo Hanghang Tong FaML 72 46 0 28 Feb 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 65 37 0 28 Feb 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 125 3 0 28 Feb 2022
Distribution Preserving Graph Representation Learning Chengsheng Mao Yuan Luo 54 0 0 27 Feb 2022
Graph Attention Retrospective Kimon Fountoulakis Amit Levi Shenghao Yang Aseem Baranwal Aukosh Jagannath GNN 134 36 0 26 Feb 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 56 5 0 25 Feb 2022
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset Dan Saattrup Nielsen Ryan McConville 99 81 0 23 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction Fang Da Yu Zhang GNN 117 28 0 23 Feb 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Xiwei Xu Xu Feng Jing Ren Huan Liu 79 44 0 23 Feb 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 108 35 0 23 Feb 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks Soumyasundar Pal Antonios Valkanas Florence Regol Mark Coates SSL 76 17 0 22 Feb 2022
Message passing all the way up Petar Velickovic 177 67 0 22 Feb 2022
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs Yixuan He Xitong Zhang Junjie Huang Benedek Rozemberczki Mihai Cucuringu Gesine Reinert 95 18 0 22 Feb 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 100 38 0 22 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Xiwei Xu Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 122 53 0 22 Feb 2022
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation Jinjiang Guo Qi Liu Han Guo Xi Lu AI4CE 31 3 0 21 Feb 2022
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy Seira Hidano Takao Murakami 104 9 0 21 Feb 2022
1-WL Expressiveness Is (Almost) All You Need Markus Zopf 56 11 0 21 Feb 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network Qinghao Zhang Miao Ye Hongbing Qiu Yong Wang Xiaofang Deng 82 15 0 19 Feb 2022
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning Huan Song Zeng Dai Panpan Xu Liu Ren NAI GNN 71 10 0 18 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 128 2 0 18 Feb 2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network Tianyu Zhao Cheng Yang Yibo Li Quan Gan Zhenyi Wang Fengqi Liang Huan Zhao Yingxia Shao Xiao Wang Chuan Shi 53 36 0 18 Feb 2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators Beibei Wang Bo Jiang AI4CE 34 2 0 18 Feb 2022
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting Lin Huang Lijun Wu Jia Zhang Jiang Bian Tie-Yan Liu AI4TS 58 2 0 18 Feb 2022
Unleashing the Power of Transformer for Graphs Lingbing Guo Qiang Zhang Huajun Chen 73 8 0 18 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 86 56 0 18 Feb 2022
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT) Namwoo Kim Yoonjin Yoon AI4TS 59 10 0 18 Feb 2022
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting Y. Shin Yoonjin Yoon GNN AI4TS 79 47 0 18 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 103 12 0 17 Feb 2022