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
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 227 0 0 25 Apr 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees Ally Yalei Du Eric Huang Dravyansh Sharma 56 0 0 18 Feb 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Xunkai Li Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 36 0 0 21 Jan 2025
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li Dungy Liu Dawei Cheng Changchun Jiang AAML 36 0 0 23 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 125 15 0 19 Dec 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 81 0 0 19 Nov 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Xunkai Li Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 35 1 0 14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks Changbo Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 37 0 0 13 Oct 2024
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs Pavel Procházka Marek Dědič Lukáš Bajer GNN 37 0 0 26 Sep 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 46 1 0 31 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 66 0 0 01 Jul 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 38 2 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 41 3 0 16 Jun 2024
Node Injection Attack Based on Label Propagation Against Graph Neural Network Peican Zhu Zechen Pan Keke Tang Xiaodong Cui Jinhuan Wang Qi Xuan AAML 32 3 0 29 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 47 4 0 24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 39 1 0 24 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 23 0 15 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 44 3 0 07 May 2024
You do not have to train Graph Neural Networks at all on text-attributed graphs Kaiwen Dong Zhichun Guo Nitesh V. Chawla 37 1 0 17 Apr 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 72 2 0 19 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 40 25 0 21 Feb 2024
Harnessing Large Language Models as Post-hoc Correctors Zhiqiang Zhong Kuangyu Zhou Davide Mottin 39 4 0 20 Feb 2024
Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse Khiem Phi Noushin Salek Faramarzi Chenlu Wang Ritwik Banerjee 23 0 0 15 Feb 2024
Classifying Nodes in Graphs without GNNs Daniel Winter Niv Cohen Yedid Hoshen 184 2 0 08 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 38 2 0 28 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning Xunkai Li Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 46 7 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 34 17 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 48 8 0 22 Jan 2024
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian Jeff Calder Nadejda Drenska 35 1 0 15 Jan 2024
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 29 8 0 18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 21 7 0 18 Dec 2023
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 35 4 0 07 Dec 2023
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks Zheyi Qin Randy Paffenroth A. Jayasumana GNN 17 1 0 03 Dec 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 29 1 0 29 Nov 2023
Content Augmented Graph Neural Networks Fatemeh Gholamzadeh Nasrabadi AmirHossein Kashani Pegah Zahedi M. H. Chehreghani 18 2 0 21 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 16 1 0 20 Nov 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery Bhavuk Singhal Ashim Gupta P. ShivasankaranV Amrith Krishna 30 1 0 25 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 49 9 0 23 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 30 1 0 18 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 26 1 0 09 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 54 0 0 29 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 31 5 0 24 Sep 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution Cong Xu Jun Wang Jianyong Wang Wei Zhang GNN 32 1 0 24 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 29 0 0 20 Sep 2023
Party Prediction for Twitter Kellin Pelrine Anne Imouza Zachary Yang Jacob-Junqi Tian Sacha Lévy ... Aarash Feizi Cécile Amadoro A. Blais Jean-François Godbout Reihaneh Rabbany 29 2 0 25 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 37 13 0 04 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 55 11 0 29 Jul 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 39 33 0 29 Jul 2023
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction Ayan Chatterjee Robin Walters G. Menichetti Tina Eliassi-Rad AI4CE 32 2 0 17 Jul 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li Zijie Guo Qiuting He Hao Xu Kun He 33 2 0 17 Jul 2023