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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

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Title
Adversarial Bipartite Graph Learning for Video Domain Adaptation Yadan Luo Zi Huang Zijian Wang Zheng Zhang Mahsa Baktashmotlagh 126 53 0 31 Jul 2020
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis Xiaoxiao Li Yuan Zhou Nicha Dvornek Muhan Zhang Juntang Zhuang P. Ventola James S Duncan 86 60 0 29 Jul 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning Bingbing Xu Huawei Shen Qi Cao Keting Cen Xueqi Cheng 90 156 0 27 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 74 5 0 24 Jul 2020
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks S. Narayanan A. Ramachandran Sathyanarayanan N. Aakur A. Bagavathi 39 5 0 24 Jul 2020
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models Michael Ridenhour A. Bagavathi Elaheh Raisi S. Krishnan 90 10 0 24 Jul 2020
A Survey on Graph Neural Networks for Knowledge Graph Completion Siddhant Arora 157 67 0 24 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 79 2 0 22 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 76 82 0 20 Jul 2020
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing V. Ioannidis Da Zheng George Karypis 65 50 0 20 Jul 2020
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description S. Bandyopadhyay Saley Vishal Vivek M. Murty 58 7 0 20 Jul 2020
Deep Representation Learning For Multimodal Brain Networks Wen Zhang Liang Zhan P. Thompson Yalin Wang MedIm 64 24 0 19 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 56 3 0 19 Jul 2020
Deep Learning of High-Order Interactions for Protein Interface Prediction Yi Liu Haonan Yuan Lei Cai Shuiwang Ji 72 57 0 18 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 149 612 0 18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 126 3 0 17 Jul 2020
Learn to Propagate Reliably on Noisy Affinity Graphs Lei Yang Qingqiu Huang Huaiyi Huang Linning Xu Dahua Lin GNN 71 13 0 17 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 339 836 0 16 Jul 2020
Investigating Pretrained Language Models for Graph-to-Text Generation Leonardo F. R. Ribeiro Martin Schmitt Hinrich Schütze Iryna Gurevych 132 218 0 16 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 103 69 0 16 Jul 2020
GRADE: Graph Dynamic Embedding Simeon E. Spasov A. D. Stefano Pietro Lio Jian Tang 71 4 0 16 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information Yu Hao Xin Cao Yixiang Fang Xike Xie Sibo Wang 67 76 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 93 53 0 15 Jul 2020
Bitcoin Transaction Forecasting with Deep Network Representation Learning Wenqi Wei Qi Zhang Ling Liu AI4TS 88 20 0 15 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 84 143 0 13 Jul 2020
Deep Graph Library Optimizations for Intel(R) x86 Architecture Sasikanth Avancha Md. Vasimuddin Sanchit Misra Ramanarayan Mohanty GNN AI4CE 45 4 0 13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 142 18 0 13 Jul 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla M. Schäfer Matěj Lang Gloria Fackelmann Pere-Pau Vázquez Barbora Kozlíková M. Krone Tobias Ritschel Timo Ropinski 52 2 0 13 Jul 2020
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek F. Železný Ondrej Kuzelka 84 14 0 13 Jul 2020
BERT Learns (and Teaches) Chemistry Josh Payne Mario Srouji Dian Ang Yap V. Kosaraju 61 10 0 11 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 129 5 0 10 Jul 2020
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol Soumyasundar Pal Yingxue Zhang Mark Coates 33 12 0 09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 111 93 0 09 Jul 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 137 233 0 08 Jul 2020
Multilevel Graph Matching Networks for Deep Graph Similarity Learning Xiang Ling Lingfei Wu Sai-gang Wang Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji 97 67 0 08 Jul 2020
3D Shape Reconstruction from Vision and Touch Edward James Smith Roberto Calandra Adriana Romero Georgia Gkioxari David Meger Jitendra Malik M. Drozdzal 88 72 0 07 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 39 3 0 07 Jul 2020
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery Mobarakol Islam Seenivasan Lalithkumar Lim Chwee Ming Hongliang Ren 88 41 0 07 Jul 2020
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media Yi Han S. Karunasekera C. Leckie GNN 131 112 0 07 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 143 143 0 07 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 68 124 0 07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks Amol Kapoor X. Ben Luyang Liu Bryan Perozzi Matt Barnes Martin J. Blais S. O’Banion 78 196 0 06 Jul 2020
Neural Subgraph Matching Rex Ying Ying Zhaoyu Lou Jiaxuan You Chengtao Wen A. Canedo J. Leskovec GNN 96 93 0 06 Jul 2020
Faster Graph Embeddings via Coarsening Matthew Fahrbach Gramoz Goranci Richard Peng Sushant Sachdeva Chi Wang 67 28 0 06 Jul 2020
GCN for HIN via Implicit Utilization of Attention and Meta-paths Di Jin Zhizhi Yu Dongxiao He Carl Yang Philip S. Yu Jiawei Han GNN 100 10 0 06 Jul 2020
Learning Graph-Convolutional Representations for Point Cloud Denoising Francesca Pistilli Giulia Fracastoro D. Valsesia E. Magli 3DPC 138 76 0 06 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 158 497 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 207 1,512 0 04 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 121 557 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 186 377 0 03 Jul 2020