Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,695 papers shown

Title
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 32 76 0 14 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 34 148 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 16 127 0 13 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 66 153 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 53 117 0 11 Sep 2020
CasGCN: Predicting future cascade growth based on information diffusion graph Zhixuan Xu Minghui Qian Xiaowei Huang Jie Meng GNN 11 15 0 10 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 35 48 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 33 763 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 39 160 0 07 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 32 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 33 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 18 242 0 03 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 30 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 36 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 38 21 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 45 13 0 28 Aug 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 32 52 0 26 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 39 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 27 458 0 19 Aug 2020
Relational Reflection Entity Alignment Xin Mao Wenting Wang Huimin Xu Yuanbin Wu Man Lan 43 131 0 18 Aug 2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection Ye Liu Junsong Yuan Chang Wen Chen 32 81 0 14 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 29 142 0 11 Aug 2020
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network A. Shirian S. Tripathi T. Guha 28 7 0 06 Aug 2020
Pose-based Modular Network for Human-Object Interaction Detection Zhijun Liang Junfa Liu Y. Guan Juan Rojas 39 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 62 31 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 46 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 26 5 0 03 Aug 2020
Adversarial Bipartite Graph Learning for Video Domain Adaptation Yadan Luo Zi Huang Zijian Wang Zheng Zhang Mahsa Baktashmotlagh 29 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 21 58 0 29 Jul 2020
Saliency Prediction with External Knowledge Yifeng Zhang Ming Jiang Qi Zhao GNN 42 10 0 27 Jul 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning Bingbing Xu Huawei Shen Qi Cao Keting Cen Xueqi Cheng 16 151 0 27 Jul 2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs Ziyu Zhao Zhihan Zhang Yihong Ma Tong Zhao Tianwen Jiang Nitesh Chawla Meng Jiang 34 8 0 25 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 29 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 27 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 40 10 0 24 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 24 81 0 20 Jul 2020
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing V. Ioannidis Da Zheng George Karypis 18 50 0 20 Jul 2020
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description S. Bandyopadhyay Saley Vishal Vivek M. Murty 21 6 0 20 Jul 2020
Deep Representation Learning For Multimodal Brain Networks Wen Zhang Liang Zhan P. Thompson Yalin Wang MedIm 29 24 0 19 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 46 598 0 18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 42 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 60 798 0 16 Jul 2020
Investigating Pretrained Language Models for Graph-to-Text Generation Leonardo F. R. Ribeiro Martin Schmitt Hinrich Schütze Iryna Gurevych 24 217 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 48 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 33 53 0 15 Jul 2020
Graph Structure of Neural Networks Jiaxuan You J. Leskovec Kaiming He Saining Xie GNN 40 139 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 63 18 0 13 Jul 2020