v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search Xinshun Feng Herun Wan Shangbin Feng Hongrui Wang Jun Zhou Qinghua Zheng Minnan Luo 82 6 0 18 Aug 2022
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching Jianhang Zhu Rongpeng Li Guoru Ding Chan Wang Jianjun Wu Zhifeng Zhao Honggang Zhang GNN 20 15 0 18 Aug 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 230 19 0 17 Aug 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper) Lilas Alrahis Satwik Patnaik Mohamed Bennai Ozgur Sinanoglu 55 16 0 17 Aug 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics Zhengyang Zhou Yang Kuo Wei Sun Binwu Wang Mingxing Zhou Yunan Zong Yang Wang AI4TS 62 4 0 17 Aug 2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu 85 41 0 17 Aug 2022
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario Jin Huang Bosong Huang Weihao Yu Jing Xiao Ruzhong Xie Ke Ruan AI4TS 59 26 0 17 Aug 2022
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection Yifan Zhang Junwen Yang Huihui Dong Qingchen Wang Huajie Shao Kevin Leach Yu Huang 61 5 0 17 Aug 2022
Learnable Filters for Geometric Scattering Modules Alexander Tong Frederik Wenkel Dhananjay Bhaskar Kincaid MacDonald Jackson D. Grady Michael Perlmutter Smita Krishnaswamy Guy Wolf 28 9 0 15 Aug 2022
Signed Graph Neural Networks: A Frequency Perspective Rahul Singh Yongxin Chen 60 11 0 15 Aug 2022
ROLAND: Graph Learning Framework for Dynamic Graphs Jiaxuan You Tianyu Du J. Leskovec AI4CE 98 184 0 15 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li Zhouxin Yu Zulun Zhu Liang Chen Qi Yu Zibin Zheng Sheng Tian Ruofan Wu Changhua Meng GNN 84 34 0 15 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 45 19 0 15 Aug 2022
Rethinking Graph Neural Networks for the Graph Coloring Problem Wei Li Ruxuan Li Yuzhe Ma S. Chan Yao Lai Bei Yu 66 15 0 15 Aug 2022
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval Guoping Zhao Bingqing Zhang Mingyu Zhang Yaxian Li Jiajun Liu Ji-Rong Wen 59 0 0 15 Aug 2022
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction Yinfeng Li Chen Gao Quanming Yao Tong Li Depeng Jin Yong Li HAI 43 8 0 14 Aug 2022
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks Jiazhi Li Tingting Zhou Yunnong Chen Ya-Hsuan Chang Yankun Zhen Lingyun Sun Liuqing Chen 25 4 0 13 Aug 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model Yirui Liu Xinghao Qiao Liying Wang Jessica Lam BDL 88 3 0 12 Aug 2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs Linhao Luo Yixiang Fang Moli Lu Xin Cao Xiaofeng Zhang Wenjie Zhang 63 10 0 12 Aug 2022
Multiplex Heterogeneous Graph Convolutional Network YU Peng Chaofan Fu Yanwei Yu Chao Huang Zhongying Zhao Junyu Dong 82 72 0 12 Aug 2022
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph Chin-Chia Michael Yeh Mengting Gu Yan Zheng Huiyuan Chen J. Ebrahimi Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang GNN AI4CE 83 18 0 11 Aug 2022
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization Yuanzhao Zhai Kele Xu Bo Ding Dawei Feng Zijian Gao Huaimin Wang 67 0 0 10 Aug 2022
Path-aware Siamese Graph Neural Network for Link Prediction Jingsong Lv Zhao Li Hongyang Chen Yao Qi Chunqi Wu 75 3 0 10 Aug 2022
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network S. W. Hsiao P. Chu 52 2 0 10 Aug 2022
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes Tu Anh Dinh J. D. Boef J. Cornelisse Paul T. Groth 122 10 0 09 Aug 2022
Neural Message Passing for Visual Relationship Detection Yue Hu Siheng Chen Xu Chen Ya Zhang Xiao Gu 89 17 0 08 Aug 2022
Towards Graph Representation Learning Based Surgical Workflow Anticipation Xiatian Zhang Noura Al Moubayed Hubert P. H. Shum 53 5 0 07 Aug 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding Sarmad N. Mohammed Semra Gunducc 85 1 0 07 Aug 2022
Are Gradients on Graph Structure Reliable in Gray-box Attacks? Zihan Liu Yun Luo Lirong Wu Siyuan Li Zicheng Liu Stan Z. Li AAML 107 23 0 07 Aug 2022
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy Md. Khaledur Rahman A. Azad GNN 89 7 0 06 Aug 2022
Oversquashing in GNNs through the lens of information contraction and graph expansion P. Banerjee Kedar Karhadkar Yu Guang Wang Uri Alon Guido Montúfar 58 46 0 06 Aug 2022
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation Yin Zhang Can Xu Xianjun Wu Yan Zhang Ligang Dong Weigang Wang 18 1 0 06 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 127 422 0 05 Aug 2022
Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification Yongkun Liu Kesong Ni Yu-he Zhang Lijian Zhou Kun Zhao 48 12 0 04 Aug 2022
Neuro-symbolic computing with spiking neural networks Dominik Dold J. Garrido Victor Caceres Chian Marcel Hildebrandt Thomas Runkler NAI 93 6 0 04 Aug 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Ziheng Chen Fabrizio Silvestri Jia Wang Yongfeng Zhang Zhenhua Huang H. Ahn Gabriele Tolomei CML 83 31 0 04 Aug 2022
Black-box Dataset Ownership Verification via Backdoor Watermarking Yiming Li Mingyan Zhu Xue Yang Yong Jiang Tao Wei Shutao Xia AAML 106 83 0 04 Aug 2022
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks Tiankai Gu Chaokun Wang Cheng Wu Jingcao Xu Yunkai Lou Changping Wang K. Xu Can Ye Yang Song 94 10 0 03 Aug 2022
Robust Graph Neural Networks using Weighted Graph Laplacian Bharat Runwal Vivek Sandeep Kumar AAML OOD 68 5 0 03 Aug 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 79 15 0 03 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 103 24 0 03 Aug 2022
Maximal Independent Vertex Set applied to Graph Pooling Stevan Stanovic Benoit Gaüzère Luc Brun 25 3 0 02 Aug 2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction Maosen Li Siheng Chen Zijing Zhang Lingxi Xie Qi Tian Ya Zhang 3DH 127 50 0 31 Jul 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 74 34 0 30 Jul 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond Chaoning Zhang Chenshuang Zhang Junha Song John Seon Keun Yi Kang Zhang In So Kweon SSL 98 78 0 30 Jul 2022
Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes Vahid Shirbisheh GNN 18 0 0 30 Jul 2022
20 years of network community detection S. Fortunato Mark E. J. Newman GNN 82 141 0 30 Jul 2022
BiFeat: Supercharge GNN Training via Graph Feature Quantization Yuxin Ma Ping Gong Jun Yi Z. Yao Cheng-rong Li Yuxiong He Feng Yan GNN 60 6 0 29 Jul 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 99 1 0 29 Jul 2022
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction Artur M. Schweidtmann Jan G. Rittig Jana M. Weber Martin Grohe Manuel Dahmen K. Leonhard Alexander Mitsos 67 27 0 27 Jul 2022