Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,695 papers shown

Title
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples Michael Färber David Lamprecht J. Krause Lin Aung P. Haase 58 13 0 07 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 50 4 0 07 Aug 2023
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction Zhixiong Di Runzhe Tao Lin Chen Qiang Wu Yibo Lin 30 0 0 07 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 38 3 0 06 Aug 2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket Yuwen Wang Shunyu Liu Kai Chen Tongtian Zhu Jilin Qiao Mengjie Shi Yuanyu Wan Mingli Song 26 6 0 05 Aug 2023
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration Paul Chen Pavan Manjunath Sasindu Wijeratne Bingyi Zhang Viktor Prasanna GNN 41 8 0 04 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs Marco Arazzi Mauro Conti Stefanos Koffas Marina Krček Antonino Nocera S. Picek Jing Xu FedML AAML 33 1 0 04 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 39 16 0 04 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Tengjiao Wang Muhan Zhang J. Leskovec 42 13 0 04 Aug 2023
UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification Mi Zou Zhongxue Gan Yutong Wang Junheng Zhang Dongyan Sui Chun Guan Siyang Leng 43 17 0 03 Aug 2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information Liang Peng Xin Eric Wang Xiao-lan Zhu 24 6 0 03 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks N. R. Franco S. Fresca Filippo Tombari Andrea Manzoni AI4CE 42 16 0 03 Aug 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Keyu Duan Qian Liu Tat-Seng Chua Shuicheng Yan Wei Tsang Ooi Qizhe Xie Junxian He 69 57 0 03 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 58 4 0 02 Aug 2023
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding Yan Zheng Junpeng Wang Chin-Chia Michael Yeh Yujie Fan Huiyuan Chen Liang Wang Wei Zhang 28 2 0 02 Aug 2023
Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction Quanxiu Wang Xinlei Cao Jianyong Wang Wei Zhang VLM 18 7 0 02 Aug 2023
Tango: rethinking quantization for graph neural network training on GPUs Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji Hang Liu GNN MQ 36 5 0 02 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 81 13 0 01 Aug 2023
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation Ashraf Ghiye Baptiste Barreau Laurent Carlier Michalis Vazirgiannis 31 5 0 01 Aug 2023
Graph Contrastive Learning with Generative Adversarial Network Cheng Wu Chao-Hong Wang Jingcao Xu Ziyang Liu Kai Zheng Xiaowei Wang Yang Song Kun Gai GAN 28 21 0 01 Aug 2023
Variational Label-Correlation Enhancement for Congestion Prediction Biao Liu Congyu Qiao Ning Xu Xin Geng Ziran Zhu Jun Yang 203 2 0 01 Aug 2023
Towards Semantically Enriched Embeddings for Knowledge Graph Completion Mehwish Alam F. V. Harmelen Maribel Acosta 44 4 0 31 Jul 2023
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification Haozhen Zhang Le Yu Xi Xiao Qing Li F. Mercaldo Xiapu Luo Qixu Liu 31 50 0 31 Jul 2023
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding Yapeng Su Tong Zhao Zicheng Zhang 44 1 0 31 Jul 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 41 8 0 29 Jul 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 48 36 0 29 Jul 2023
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning Junhyun Lee Bumsoo Kim Minji Jeon Jaewoo Kang GNN 39 1 0 28 Jul 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Tengjiao Wang Hongzhi Yin 29 11 0 28 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 43 6 0 27 Jul 2023
Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions Min Ren Yunlong Wang Yuhao Zhu Kunbo Zhang Zhenan Sun 32 10 0 27 Jul 2023
Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras K. Jeziorek Andrea Pinna T. Kryjak GNN 35 8 0 26 Jul 2023
Hypergraph Isomorphism Computation Yifan Feng Jiashu Han Shihui Ying Yue Gao 24 8 0 26 Jul 2023
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction Xinshun Wang Qiongjie Cui Chong Chen Shen Zhao Mengyuan Liu 3DH 35 4 0 26 Jul 2023
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes Sebastian Strönisch Maximilian Sander A. Knüpfer M. Meyer AI4CE 44 8 0 25 Jul 2023
Node Injection Link Stealing Attack Oualid Zari Javier Parra-Arnau Ayşe Ünsal Melek Önen 53 2 0 25 Jul 2023
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations Louis Serrano Léon Migus Yuan Yin Jocelyn Ahmed Mazari Patrick Gallinari AI4CE 40 4 0 25 Jul 2023
Finding Money Launderers Using Heterogeneous Graph Neural Networks F. Johannessen Martin Jullum 37 4 0 25 Jul 2023
Transferability of Graph Neural Networks using Graphon and Sampling Theories A. Neuman J. Bramburger 30 1 0 25 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 33 8 0 24 Jul 2023
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification Aryan Singh Pepijn Van de Ven Ciarán Eising Patrick Denny GNN 43 2 0 24 Jul 2023
Addressing the Impact of Localized Training Data in Graph Neural Networks S. Akansha 40 3 0 24 Jul 2023
Fake News Detection Through Graph-based Neural Networks: A Survey Shuzhi Gong Richard Sinnott Jianzhong Qi Cécile Paris GNN 54 5 0 24 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 77 11 0 22 Jul 2023
MIMONet: Multi-Input Multi-Output On-Device Deep Learning Zexin Li Xiaoxi He Yufei Li Shahab Nikkhoo Wei Yang Lothar Thiele Cong Liu 48 5 0 22 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 43 1 0 22 Jul 2023
Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification Filipos Gouidis Theodore Patkos Antonis Argyros Dimitris Plexousakis 34 1 0 22 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 29 3 0 20 Jul 2023
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning Zijie Song Zhenzhen Hu Yuanen Zhou Ye Zhao Richang Hong Meng Wang 26 2 0 19 Jul 2023
Graph Federated Learning Based on the Decentralized Framework P. Liu Yanni Tang Mingyue Zhang Wu Chen FedML 40 0 0 19 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 35 14 0 19 Jul 2023