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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,528 papers shown

Title
FMGNN: Fused Manifold Graph Neural Network Cheng Deng Fan Xu Jiaxing Ding Luoyi Fu Weinan Zhang Xinbing Wang 111 3 0 03 Apr 2023
Uncertainty Propagation in Node Classification Zhao Xu Carolin (Haas) Lawrence Ammar Shaker Raman Siarheyeu BDL UQCV 143 2 0 03 Apr 2023
Graph-Based Deep Learning for Sea Surface Temperature Forecasts Ding Ning V. Vetrova K. Bryan AI4Cl AI4TS AI4CE 18 4 0 03 Apr 2023
Graph Mining for Cybersecurity: A Survey Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 92 15 0 02 Apr 2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics Brian Bartoldson Yeping Hu Amarjeet Saini Jose Cadena Yu-Hang Fu Jie Bao Zhijie Xu Brenda Ng P. Nguyen AI4CE 62 2 0 01 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 68 2 0 31 Mar 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 146 13 0 31 Mar 2023
The Graphical Nadaraya-Watson Estimator on Latent Position Models M. Gjorgjevski 41 1 0 30 Mar 2023
Dependent Task Offloading in Edge Computing Using GNN and Deep Reinforcement Learning Zequn Cao Xiaoheng Deng 32 12 0 30 Mar 2023
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection Sihao Hu Zhen Zhang B. Luo Shengliang Lu Bingsheng He Ling Liu 74 44 0 29 Mar 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 35 4 0 29 Mar 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu Yun Luo Lirong Wu Zicheng Liu Stan Z. Li AAML 89 26 0 29 Mar 2023
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection Xinxin Hu Haotian Chen Junjie Zhang Hongchang Chen Shuxin Liu Xing Li Yahui Wang Xiangyang Xue 50 15 0 29 Mar 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 88 7 0 29 Mar 2023
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification Jinlong Hu Ya-Lin Huang Shoubin Dong 81 1 0 28 Mar 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 96 29 0 28 Mar 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 56 11 0 28 Mar 2023
GNN-based physics solver for time-independent PDEs R. J. Gladstone H. Rahmani V. Suryakumar Hadi Meidani M. DÉlia A. Zareei AI4CE 51 14 0 28 Mar 2023
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection Xinxin Hu Haotian Chen Hongchang Chen Shuxin Liu Xing Li Shibo Zhang Yahui Wang Xiangyang Xue GNN 73 19 0 28 Mar 2023
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach Zhongcan Li Ping Huang Chao Wen Filipe Rodrigues 48 3 0 27 Mar 2023
Towards Open Temporal Graph Neural Networks Kaituo Feng Changsheng Li Xiaolu Zhang Jun Zhou AI4CE 87 16 0 27 Mar 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 98 3 0 27 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 102 33 0 27 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 63 21 0 26 Mar 2023
FairGAT: Fairness-aware Graph Attention Networks Öykü Deniz Köse Yanning Shen 80 9 0 26 Mar 2023
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN) D. Jana Sven Malama S. Narasimhan E. Taciroğlu GNN 38 3 0 25 Mar 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern Menze GNN 95 7 0 25 Mar 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 143 211 0 25 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 76 3 0 25 Mar 2023
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems Lilas Alrahis Satwik Patnaik Muhammad Abdullah Hanif Mohamed Bennai Ozgur Sinanoglu 50 17 0 24 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi R. Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 120 11 0 24 Mar 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 122 9 0 24 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 76 5 0 24 Mar 2023
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem Bruno Machado Pacheco L. O. Seman C. A. Rigo E. Camponogara E. Bezerra L. Coelho 102 1 0 24 Mar 2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation Bingyi Zhang Viktor Prasanna GNN 40 5 0 22 Mar 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning Chao Chen Haoyu Geng Nianzu Yang Xiaokang Yang Junchi Yan 104 8 0 22 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 56 6 0 22 Mar 2023
DIPPM: a Deep Learning Inference Performance Predictive Model using Graph Neural Networks Karthick Panner Selvam M. Brorsson GNN BDL 49 5 0 21 Mar 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks Wenqi Wei Mu Qiao D. Jadav AAML AI4CE 67 4 0 20 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 101 214 0 20 Mar 2023
Graph Neural Rough Differential Equations for Traffic Forecasting Jeongwhan Choi Noseong Park AI4TS 65 17 0 20 Mar 2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification Liang Yan Shengzhong Zhang Bisheng Li Min Zhou Zengfeng Huang 106 4 0 18 Mar 2023
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns Jun Wu Xuesong Ye Chengjie Mou 136 18 0 17 Mar 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Hongzhi Zhang Chun-Yi Liu Philip S. Yu 89 52 0 17 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 57 0 0 17 Mar 2023
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction Hsiao-Ying Lu Takanori Fujiwara Ming-Yi Chang Yang-chih Fu Anders Ynnerman Kwan-Liu Ma CML 76 3 0 16 Mar 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data Xinwei Zhang Min-Fong Hong Jie Chen FedML 77 3 0 16 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 59 1 0 15 Mar 2023
Feature propagation as self-supervision signals on graphs Oscar Pina Verónica Vilaplana SSL 61 1 0 15 Mar 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao Jiaxuan You J. Leskovec 59 17 0 14 Mar 2023