Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,391 papers shown

Title
Unsupervised Deep Manifold Attributed Graph Embedding Z. Zang Siyuan Li Di Wu Jianzhu Guo Yongjie Xu Stan Z. Li DRL 23 5 0 27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 27 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 36 0 0 19 Apr 2021
Mining Latent Structures for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Shu Wu Shuhui Wang Liang Wang BDL 59 188 0 19 Apr 2021
Low-Rank Subspaces for Unsupervised Entity Linking Akhil Arora Alberto García-Durán Robert West 26 10 0 18 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 28 16 0 17 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 0 15 Apr 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks Chaoyang He Keshav Balasubramanian Emir Ceyani Carl Yang Han Xie ... Yu Rong P. Zhao Junzhou Huang M. Annavaram Salman Avestimehr FedML OOD 26 2 0 14 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 37 77 0 14 Apr 2021
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search Chunnan Wang Bozhou Chen Geng Li Hongzhi Wang FedML GNN 18 17 0 09 Apr 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT Zekai Chen Dingshuo Chen Xiao Zhang Zixuan Yuan Xiuzhen Cheng AI4TS 28 332 0 08 Apr 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels Qingqing Long Yilun Jin Yi Wu Guojie Song 44 37 0 07 Apr 2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network Zeyu Cui Zekun Li Shu Wu Xiaoyu Zhang Qiang Liu Liang Wang Mengmeng Ai GNN 12 12 0 07 Apr 2021
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks Claudio Bellei Hussain Alattas N. Kaaniche GNN 27 8 0 05 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 51 34 0 03 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021
Variational models for signal processing with Graph Neural Networks A. Azad Julien Rabin A. Elmoataz 3DPC GNN 22 0 0 30 Mar 2021
A nonlinear diffusion method for semi-supervised learning on hypergraphs Francesco Tudisco Konstantin Prokopchik Austin R. Benson 30 12 0 27 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 30 34 0 26 Mar 2021
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction Xinxing Wu Q. Cheng GNN AI4CE 22 11 0 21 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 23 400 0 17 Mar 2021
Collapsible Linear Blocks for Super-Efficient Super Resolution Kartikeya Bhardwaj M. Milosavljevic Liam OÑeil Dibakar Gope Ramon Matas Navarro A. Chalfin Naveen Suda Lingchuan Meng Danny Loh SupR 19 39 0 17 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 40 10 0 12 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 39 83 0 10 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 25 49 0 05 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 25 11 0 05 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 25 125 0 04 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim OOD SSL 24 8 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 569 0 28 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 49 290 0 27 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 193 0 26 Feb 2021
Pre-Training on Dynamic Graph Neural Networks Ke-Jia Chen Jiajun Zhang Linpu Jiang Yunyun Wang Yuxuan Dai AI4CE 13 15 0 24 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 48 123 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 0 22 Feb 2021
Interpretable Stability Bounds for Spectral Graph Filters Henry Kenlay D. Thanou Xiaowen Dong 22 39 0 18 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 19 0 0 17 Feb 2021
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software Jintang Li Kun Xu Liang Chen Zibin Zheng Xiao Liu GNN 11 12 0 16 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 90 416 0 14 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 218 0 12 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 41 249 0 12 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 22 22 0 08 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition Jia Li Mengzhou Liu Honglei Zhang Pengyun Wang Yong Wen Lujia Pan Hong Cheng 29 9 0 08 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 28 52 0 05 Feb 2021
Learning Graph Embeddings for Compositional Zero-shot Learning Muhammad Ferjad Naeem Yongqin Xian Federico Tombari Zeynep Akata CoGe 20 137 0 03 Feb 2021
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision Kaushik Roy Usha Lokala Vedant Khandelwal A. Sheth AI4MH 14 19 0 01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 24 85 0 31 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 54 198 0 28 Jan 2021