Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 24 68 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 42 42 0 24 Aug 2021
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations Y. Kumar S. Chakraborty 32 8 0 24 Aug 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 72 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy Chitrank Gupta Yash Jain A. De Soumen Chakrabarti AI4CE 23 4 0 23 Aug 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 22 122 0 23 Aug 2021
Programmable FPGA-based Memory Controller Sasindu Wijeratne S. Pattnaik Zhiyu Chen Rajgopal Kannan Viktor Prasanna 28 3 0 21 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation Tao He Lianli Gao Jingkuan Song Yuan-Fang Li 37 5 0 20 Aug 2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction Xiawei Guo Yuhan Quan Huan Zhao Quanming Yao Yong Li Wei-Wei Tu 17 27 0 20 Aug 2021
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 59 442 0 19 Aug 2021
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network Ryan Razani Ran Cheng Enxu Li E. Taghavi Y. Ren Bingbing Liu 3DPC 32 49 0 18 Aug 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 30 44 0 18 Aug 2021
Adaptive Graph Convolution for Point Cloud Analysis Hao Zhou Yidan Feng Mingsheng Fang Mingqiang Wei J. Qin Tong Lu 3DPC 45 135 0 18 Aug 2021
Graph Capsule Aggregation for Unaligned Multimodal Sequences Jianfeng Wu Sijie Mai Haifeng Hu 21 32 0 17 Aug 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Qinyi Zhu Yiou Xiao AI4CE 48 3 0 14 Aug 2021
Room Classification on Floor Plan Graphs using Graph Neural Networks Abhishek Paudel Roshan Dhakal Sakshat Bhattarai GNN AI4CE 30 4 0 12 Aug 2021
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness Xin Mao Wenting Wang Yuanbin Wu Man Lan 32 26 0 11 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 36 118 0 11 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual Block Shekhar Gupta G. Yadav G. C. Nandi 3DH 23 3 0 09 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 32 3 0 09 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 42 28 0 07 Aug 2021
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation U. Demir Atahan Ozer Y. Sahin Gözde B. Ünal 22 3 0 06 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 39 123 0 04 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks Zachary Ravichandran Lisa Peng Nathan Hughes J. D. Griffith Luca Carlone 47 69 0 02 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 30 106 0 02 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 23 31 0 02 Aug 2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction Fang Zheng Le Wang Sanping Zhou Wei Tang Zhenxing Niu N. Zheng G. Hua AI4TS 26 34 0 31 Jul 2021
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection Hemlata Tak Jee-weon Jung J. Patino Madhu R. Kamble Massimiliano Todisco Nicholas W. D. Evans 43 162 0 27 Jul 2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex D. Helic M. Strohmaier Roman Kern AAML GNN 19 12 0 23 Jul 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks Dylan Sandfelder Priyesh Vijayan William L. Hamilton 24 26 0 22 Jul 2021
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data Qinkai Chen C. Robert AIFin 40 25 0 22 Jul 2021
Data Considerations in Graph Representation Learning for Supply Chain Networks Ajmal Aziz E. Kosasih Ryan-Rhys Griffiths Alexandra Brintrup 47 12 0 22 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs Nicolas Sonnerat Pengming Wang Ira Ktena Sergey Bartunov Vinod Nair 29 45 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 30 57 0 19 Jul 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 36 9 0 18 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 0 16 Jul 2021
Graph Representation Learning for Road Type Classification Zahra Gharaee S. Kowshik Oliver Stromann Michael Felsberg GNN 19 30 0 16 Jul 2021
Integrating LSTMs and GNNs for COVID-19 Forecasting Nathan Sesti J. Luis E. Crawley B. Cameron AI4TS 19 18 0 14 Jul 2021
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning Chuanqiang Shan Hui Jiao Jie Fu 30 14 0 13 Jul 2021
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation Yitong Pang Lingfei Wu Qi Shen Yiming Zhang Zhihua Wei Fangli Xu Ethan Chang Bo Long Jian Pei 41 112 0 08 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
Graph Convolution for Re-ranking in Person Re-identification Yuqi Zhang Qiang Qi Chong Liu Weihua Chen Fan Wang Hao Li Rong Jin 25 12 0 05 Jul 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 108 0 05 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 20 80 0 03 Jul 2021