Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,278 papers shown

Title
Solving Machine Learning Problems Sunny Tran P. Krishna Ishan Pakuwal Prabhakar Kafle Nikhil Singh J. Lynch Iddo Drori VLM 21 11 0 02 Jul 2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network Maosen Li Siheng Chen Yanning Shen Ge Liu Ivor W. Tsang Ya Zhang 22 42 0 02 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 59 95 0 01 Jul 2021
Visualising Argumentation Graphs with Graph Embeddings and t-SNE Lars Malmqvist Tommy Yuan S. Manandhar GAN 23 1 0 01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 29 108 0 01 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 21 46 0 01 Jul 2021
Multi-modal Graph Learning for Disease Prediction Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yao Zhao 34 97 0 01 Jul 2021
Edge Proposal Sets for Link Prediction Abhay Singh Qian Huang Sijia Huang Omkar Bhalerao Horace He Ser-Nam Lim Austin R. Benson 11 16 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 21 49 0 30 Jun 2021
Deep Learning for Technical Document Classification Shuo Jiang Jie Hu C. Magee Jianxi Luo 27 41 0 27 Jun 2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN Xiaoqi Wang Kevin Yen Yifan Hu Han-Wei Shen GNN 34 19 0 27 Jun 2021
Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang Carl Yang Xiaoxiao Li Lichao Sun Siu-Ming Yiu FedML 30 164 0 25 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting Zheng Fang Qingqing Long Guojie Song Kunqing Xie AI4TS 17 459 0 24 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
A Vertical Federated Learning Framework for Graph Convolutional Network Xiang Ni Xiaolong Xu Lingjuan Lyu Changhua Meng Weiqiang Wang FedML 19 36 0 22 Jun 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan. Z. Li SSL 14 46 0 21 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 54 254 0 21 Jun 2021
3D Object Detection for Autonomous Driving: A Survey Rui Qian Xin Lai Xirong Li 3DPC 35 319 0 21 Jun 2021
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection Shucheng Li Fengyuan Xu Runchuan Wang Sheng Zhong GNN 32 21 0 18 Jun 2021
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter Jingli Shi Weihua Li Sira Yongchareon Yi Yang Quan-wei Bai 21 8 0 18 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 29 86 0 17 Jun 2021
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties Jerret Ross Brian M. Belgodere Vijil Chenthamarakshan Inkit Padhi Youssef Mroueh Payel Das AI4CE 32 275 0 17 Jun 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals Andac Demir T. Koike-Akino Ye Wang M. Haruna Deniz Erdogmus 26 66 0 16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 33 50 0 16 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 32 35 0 14 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 50 539 0 14 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv 27 24 0 14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 33 300 0 13 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 29 65 0 12 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 45 100 0 12 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 42 131 0 11 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 44 24 0 11 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 21 6 0 11 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 34 76 0 10 Jun 2021
Fairness-Aware Node Representation Learning Öykü Deniz Köse Yanning Shen 32 22 0 09 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 42 100 0 09 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 50 436 0 09 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 Jun 2021
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles O. Ganea L. Pattanaik Connor W. Coley Regina Barzilay K. Jensen W. Green Tommi Jaakkola AI4CE 45 136 0 08 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 21 121 0 08 Jun 2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks Changlin Wan Muhan Zhang Weiyu Hao Sha Cao Pan Li Chi Zhang 29 15 0 08 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 27 108 0 08 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 46 508 0 07 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation Sanshi Lei Yu Zhuoxuan Jiang Dongdong Chen Shanshan Feng Dongsheng Li Qi Liu Jinfeng Yi 44 20 0 07 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 21 14 0 07 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 46 28 0 06 Jun 2021
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations Qingkai Zeng Jinfeng Lin Wenhao Yu J. Cleland-Huang Meng Jiang 19 43 0 05 Jun 2021