Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

27 October 2020

Ser-Nam Lim

Papers citing "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks"

50 / 172 papers shown

Title
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 39 8 0 08 Jun 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 38 14 0 31 May 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 19 0 0 28 May 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 70 50 0 26 May 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 43 8 0 26 May 2022
Graph-Based Methods for Discrete Choice K. Tomlinson Austin R. Benson 13 3 0 23 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 45 9 0 19 May 2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning Huijuan Wang Siming Dai Weiyue Su Hui Zhong Zeyang Fang Zhengjie Huang Shi Feng Zeyu Chen Yu Sun Dianhai Yu 22 16 0 13 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension A. Azad 33 1 0 03 May 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 27 2 0 19 Apr 2022
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering Hao Fu Patrick Poirson Kwot Sin Lee Chen Wang 20 16 0 29 Mar 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Liang Zhan Lifang He Ying Guo Carl Yang 19 113 0 17 Mar 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 52 18 0 05 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 58 22 0 30 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 29 45 0 14 Jan 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 22 41 0 18 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 38 0 0 17 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 38 8 0 08 Dec 2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 36 0 0 06 Dec 2021
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks Emmanouil Krasanakis Symeon Papadopoulos I. Kompatsiaris GNN 19 7 0 29 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 23 2 0 25 Nov 2021
Network In Graph Neural Network Xiang Song Runjie Ma Jiahang Li Muhan Zhang David Wipf GNN 24 10 0 23 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 19 45 0 14 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 51 21 0 11 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 43 5 0 11 Nov 2021
Deep Attention-guided Graph Clustering with Dual Self-supervision Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 34 22 0 10 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 27 54 0 09 Nov 2021
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 32 62 0 08 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
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
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features Jiuhai Chen Jonas W. Mueller V. Ioannidis Soji Adeshina Yangkun Wang Tom Goldstein David Wipf 35 12 0 26 Oct 2021
pygrank: A Python Package for Graph Node Ranking Emmanouil Krasanakis Symeon Papadopoulos Y. Kompatsiaris A. Symeonidis 27 3 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 33 174 0 17 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
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-Wei Zhang Zengfeng Huang David Wipf AAML 58 12 0 14 Oct 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 31 2 0 12 Oct 2021
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification Yiming Wu Xintian Wu Xi Li Jian Tian 46 26 0 12 Oct 2021
Deep Fraud Detection on Non-attributed Graph Chen Wang Yingtong Dou Min Chen Jia Chen Zhiwei Liu Philip S. Yu GNN 35 19 0 04 Oct 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) Johannes C. Paetzold J. McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl ... Anjany Sekuboyina Georgios Kaissis Ali Ertürk Stephan Günnemann Bjoern H. Menze 19 9 0 30 Aug 2021
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN 29 3 0 23 Aug 2021
Attention-driven Graph Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou GNN 38 102 0 12 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 15 80 0 03 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 24 64 0 30 Jun 2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification Long Chen Venkatesh Ravichandran A. Stolcke SSL 27 16 0 15 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 20 133 0 10 Jun 2021