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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
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks Miao Ye Qinghao Zhang Xingsi Xue Yong Wang Qiuxiang Jiang Hongbing Qiu 38 0 0 26 Dec 2022
Refined Edge Usage of Graph Neural Networks for Edge Prediction Jiarui Jin Yangkun Wang Weinan Zhang Quan Gan Xiang Song Yong Yu Zheng Zhang David Wipf 68 2 0 25 Dec 2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo Di Jin Yawen Li Dongxiao He Yubin Yang Lingfei Wu 58 42 0 24 Dec 2022
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives Wenjin Xie Siyuan Liu Xiaomeng Wang Tao Jia 48 7 0 24 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 93 1 0 24 Dec 2022
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks Ujun Jeong Kaize Ding Lu Cheng Ruocheng Guo Kai Shu Huan Liu GNN 63 21 0 24 Dec 2022
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection Qiaoyu Tan Xin Zhang Ninghao Liu Daochen Zha Li Li Rui Chen Soo-Hyun Choi Helen Zhou 95 44 0 23 Dec 2022
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods Anna Himmelhuber Dominik Dold S. Grimm Sonja Zillner Thomas Runkler AAML 63 6 0 23 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 108 1 0 23 Dec 2022
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data A. Tonks Trevor Harris Bo Li W. Brown Rebecca Smith 430 4 0 21 Dec 2022
Towards dynamic stability analysis of sustainable power grids using graph neural networks Christian Nauck M. Lindner Konstantin Schurholt Frank Hellmann 58 3 0 21 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua Xiao-Wen Chang Doina Precup GNN 69 34 0 21 Dec 2022
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks Xing Su Jian Yang Hongzhi Zhang Yuchen Zhang GNN 67 19 0 21 Dec 2022
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning Cameron Diao Kaixiong Zhou Zirui Liu Xiao Huang Helen Zhou 69 15 0 20 Dec 2022
Tuning the Tail Latency of Distributed Queries Using Replication Nathan Ng Hung-Cuong Le Marco Serafini 44 0 0 20 Dec 2022
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches Maciej Krzywda S. Lukasik Amir H. Gandomi GNN 105 10 0 20 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 89 9 0 20 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 77 0 0 19 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 81 15 0 18 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 143 56 0 18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 133 5 0 17 Dec 2022
Analyzing the Traffic of MANETs using Graph Neural Networks Taha Tekdogan GNN 50 2 0 17 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 89 12 0 16 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 101 15 0 16 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 128 19 0 16 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 77 39 0 15 Dec 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 116 60 0 15 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 68 5 0 13 Dec 2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition Qin Li Xu Yang Yong Wang Yuankai Wu Deqiang He 81 10 0 12 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 85 26 0 11 Dec 2022
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition Peyman Baghershahi Reshad Hosseini H. Moradi GNN 89 4 0 11 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Xiwei Xu Azadeh Noori Hoshyar Charu C. Aggarwal 90 27 0 11 Dec 2022
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition Junwei Su GNN 42 0 0 11 Dec 2022
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation A. Einizade S. Nasiri S. H. Sardouie G. Clifford 70 14 0 09 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 74 0 0 09 Dec 2022
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Suhwan Cho Sungmin Woo Sungjun Jang Sangyoun Lee 97 19 0 09 Dec 2022
Augmenting Knowledge Transfer across Graphs Yuzhen Mao Jianhui Sun Dawei Zhou 74 1 0 09 Dec 2022
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 75 6 0 09 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma Xingjian Zhang Hezheng Fan Jin Huang Tianyue Li Tinghong Li Yiwen Tu Chen Zhu Qiaozhu Mei 116 5 0 08 Dec 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs Preslav Nakov Mingzhe Li Shen Gao Rui Yan Xin Gao Xiangliang Zhang 62 14 0 08 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 83 19 0 07 Dec 2022
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors Ruixuan Wang Fred Lin Daniel Moore Sriram Sankar Xun Jiao 30 1 0 07 Dec 2022
Dynamic Graph Node Classification via Time Augmentation Jiarui Sun Mengting Gu Chin-Chia Michael Yeh Yujie Fan Girish Chowdhary Wei Zhang 45 4 0 07 Dec 2022
Data Imputation with Iterative Graph Reconstruction J. Zhong Weiwei Ye Ning Gui 79 13 0 06 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 96 9 0 05 Dec 2022
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks Jhony H. Giraldo Konstantinos Skianis T. Bouwmans Fragkiskos D. Malliaros 86 53 0 05 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes Wei Duan Junyu Xuan Maoying Qiao Jie Lu 84 11 0 05 Dec 2022
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN Shuhe Wang Yuxian Meng Rongbin Ouyang Jiwei Li Tianwei Zhang Lingjuan Lyu Guoyin Wang 84 10 0 05 Dec 2022
Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren Yifu Yuan Yuxin Wu Xiaxuan Gao Yewen Wang Yizhou Sun 63 3 0 05 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 102 18 0 04 Dec 2022