Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 37 62 0 08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 50 0 08 Nov 2021
Graph Denoising with Framelet Regularizer Bingxin Zhou Ruikun Li Xuebin Zheng Yu Guang Wang Junbin Gao 23 14 0 05 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 32 35 0 01 Nov 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 156 133 0 29 Oct 2021
Deconvolutional Networks on Graph Data Jia Li Jiajin Li Yang Liu Jianwei Yu Yueting Li Hongtao Cheng GNN 26 21 0 29 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 193 0 28 Oct 2021
Dist2Cycle: A Simplicial Neural Network for Homology Localization A. Keros Vidit Nanda Kartic Subr 19 28 0 28 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 32 74 0 28 Oct 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing Aadarsh Sahoo Rutav Shah Yikang Shen Kate Saenko Abir Das 32 63 0 28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping Huang Jiulong Shan Zhi-Xin Yang Tengjiao Wang 40 30 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 61 340 0 27 Oct 2021
Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang Mingyu Yang Zeang Sheng Yang Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang 24 67 0 27 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 47 0 27 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 30 126 0 26 Oct 2021
Unbiased Graph Embedding with Biased Graph Observations Nan Wang Lu Lin Jundong Li Hongning Wang CML 19 36 0 26 Oct 2021
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 27 11 0 26 Oct 2021
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets Felix L. Opolka Yin-Cong Zhi Pietro Lio Xiaowen Dong 27 19 0 25 Oct 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping Gayan K. Kulatilleke Marius Portmann Ryan K. L. Ko Shekhar S. Chandra 25 9 0 21 Oct 2021
CGNN: Traffic Classification with Graph Neural Network Bo Pang Yongquan Fu Siyuan Ren Ye Wang Qing Liao Yan Jia GNN 27 25 0 19 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 34 80 0 18 Oct 2021
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution R. Cohn Elizabeth A. Holm 11 3 0 18 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Yu Pan Junjin Zheng Lei Wang Zenglin Xu 36 0 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 38 174 0 17 Oct 2021
Tackling the Imbalance for GNNs Rui Wang Weixuan Xiong Qing-Hu Hou Ou Wu 57 6 0 17 Oct 2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 44 32 0 16 Oct 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xia Li 30 7 0 16 Oct 2021
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 48 18 0 15 Oct 2021
DPGNN: Dual-Perception Graph Neural Network for Representation Learning Li Zhou Wenyu Chen DingYi Zeng Shaohuan Cheng Wanlong Liu Malu Zhang Hong Qu 35 8 0 15 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 37 148 0 14 Oct 2021
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Jie M. Zhang Bo Hui P. Harn Minmin Sun Wei-Shinn Ku 24 8 0 14 Oct 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 24 1 0 14 Oct 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang Jiarui Jin Weinan Zhang Yongyi Yang Jiuhai Chen Quan Gan Yong Yu Zheng Zhang Zengfeng Huang David Wipf AAML 58 12 0 14 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks Peihao Wang Yuehao Wang Hua Lin Jianbo Shi 37 3 0 14 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 82 32 0 13 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 29 6 0 08 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 49 0 0 08 Oct 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 39 8 0 08 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin Leman Akoglu Neil Shah GNN 29 162 0 07 Oct 2021
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 45 62 0 05 Oct 2021
Revisiting SVD to generate powerful Node Embeddings for Recommendation Systems A. Budhiraja 14 2 0 05 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 24 34 0 03 Oct 2021
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters Victor M. Tenorio Samuel Rey Fernando Gama Santiago Segarra A. Marques GNN 27 7 0 02 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 109 116 0 29 Sep 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 24 5 0 29 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 48 34 0 23 Sep 2021
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation Shuang He Xia Lu J. Gu Haitong Tang Qin Yu Kaiyue Liu H. Ding Chunqi Chang Ni-zhuan Wang 47 15 0 19 Sep 2021
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition Shuyun Tang Zhaojie Luo Guoshun Nan Y. Yoshikawa H. Ishiguro 47 11 0 15 Sep 2021