Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,155 papers shown

Title
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 28 60 0 18 Sep 2020
Answering Any-hop Open-domain Questions with Iterative Document Reranking Ping Nie Yuyu Zhang Arun Ramamurthy Le Song 33 20 0 16 Sep 2020
Social network analytics for supervised fraud detection in insurance María Óskarsdóttir Waqas Ahmed Katrien Antonio Bart Baesens R. Dendievel Tom Donas Tom Reynkens 16 36 0 15 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 16 31 0 15 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 22 137 0 15 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 147 0 14 Sep 2020
GIKT: A Graph-based Interaction Model for Knowledge Tracing Yang Yang Jian Shen Yanru Qu Yunfei Liu Kerong Wang Yaoming Zhu Weinan Zhang Yong Yu AI4Ed 8 125 0 13 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 33 153 0 13 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 42 117 0 11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 30 47 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 747 0 08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 32 159 0 07 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 28 10 0 03 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 241 0 03 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 22 32 0 02 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 28 12 0 31 Aug 2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Qingyun Sun Hao Peng Jianxin Li Senzhang Wang Xiangyu Dong Liangxuan Zhao Philip S. Yu Lifang He 18 20 0 30 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 28 13 0 28 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Yingtong Dou Zhiwei Liu Li Sun Yutong Deng Hao Peng Philip S. Yu AAML 16 454 0 19 Aug 2020
Relational Reflection Entity Alignment Xin Mao Wenting Wang Huimin Xu Yuanbin Wu Man Lan 25 131 0 18 Aug 2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection Ye Liu Junsong Yuan Chang Wen Chen 27 80 0 14 Aug 2020
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network A. Shirian S. Tripathi T. Guha 23 7 0 06 Aug 2020
Pose-based Modular Network for Human-Object Interaction Detection Zhijun Liang Junfa Liu Y. Guan Juan Rojas 34 15 0 05 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 57 30 0 04 Aug 2020
A Learned Performance Model for Tensor Processing Units Samuel J. Kaufman P. Phothilimthana Yanqi Zhou Charith Mendis Sudip Roy Amit Sabne Mike Burrows 21 8 0 03 Aug 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs Dominik Alfke Martin Stoll GNN 24 5 0 03 Aug 2020
Adversarial Bipartite Graph Learning for Video Domain Adaptation Yadan Luo Zi Huang Zijian Wang Zheng-Wei Zhang Mahsa Baktashmotlagh 24 51 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 16 57 0 29 Jul 2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs Ziyu Zhao Zhihan Zhang Yihong Ma Tong Zhao Tianwen Jiang Nitesh V. Chawla Meng Jiang 24 8 0 25 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 15 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 14 4 0 24 Jul 2020
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models Michael Ridenhour A. Bagavathi Elaheh Raisi S. Krishnan 17 10 0 24 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 19 81 0 20 Jul 2020
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing V. Ioannidis Da Zheng George Karypis 13 50 0 20 Jul 2020
Deep Representation Learning For Multimodal Brain Networks Wen Zhang Liang Zhan P. Thompson Yalin Wang MedIm 21 24 0 19 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 46 594 0 18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 16 3 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 60 790 0 16 Jul 2020
Investigating Pretrained Language Models for Graph-to-Text Generation Leonardo F. R. Ribeiro Martin Schmitt Hinrich Schütze Iryna Gurevych 19 215 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 44 67 0 16 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information Yu Hao Xin Cao Yixiang Fang Xike Xie Sibo Wang 22 76 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 28 53 0 15 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 27 137 0 13 Jul 2020
Deep Graph Library Optimizations for Intel(R) x86 Architecture Sasikanth Avancha Md. Vasimuddin Sanchit Misra Ramanarayan Mohanty GNN AI4CE 16 4 0 13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 41 17 0 13 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 13 5 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 33 84 0 09 Jul 2020