Unifying Graph Convolutional Neural Networks and Label Propagation

17 February 2020

Papers citing "Unifying Graph Convolutional Neural Networks and Label Propagation"

50 / 94 papers shown

Title
Never Skip a Batch: Continuous Training of Temporal GNNs via Adaptive Pseudo-Supervision Alexander Panyshev Dmitry Vinichenko Oleg Travkin Roman Alferov Alexey Zaytsev 2 0 0 18 May 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Xunkai Li Yichen Zhu Daohan Su Bowen Fan R. Li Guoren Wang Chenghu Zhou FedML 38 0 0 14 Apr 2025
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs Weiheng Wu Wei Qiao Wenhao Yan Bo-Sian Jiang Yuling Liu Baoxu Liu Zhigang Lu JunRong Liu 34 0 0 05 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
Deep Graph Attention Networks Jun Kato Airi Mita Keita Gobara Akihiro Inokuchi GNN 19 0 0 21 Oct 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
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 41 3 0 16 Jun 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu Jiangchao Yao Bo Han Lina Yao Tongliang Liu 31 2 0 30 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 42 4 0 24 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 39 7 0 22 May 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 38 0 0 06 Feb 2024
Alleviating Structural Distribution Shift in Graph Anomaly Detection Yuan Gao Xiang Wang Xiangnan He Zhenguang Liu Huamin Feng Yongdong Zhang 21 62 0 25 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 40 8 0 22 Jan 2024
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 21 7 0 18 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 37 12 0 07 Dec 2023
Node Classification in Random Trees Wouter W. L. Nuijten Vlado Menkovski BDL 15 0 0 20 Nov 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning Tianmeng Yang Min Zhou Yujing Wang Zhe-Min Lin Lujia Pan Bin Cui Yu Tong AAML 34 3 0 17 Aug 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li Zijie Guo Qiuting He Hao Xu Kun He 29 2 0 17 Jul 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li Miao Xiong Bryan Hooi 13 7 0 30 May 2023
Multi-label Node Classification On Graph-Structured Data Tianqi Zhao Ngan Thi Dong Alan Hanjalic Megha Khosla AI4CE 24 5 0 20 Apr 2023
Gradient scarcity with Bilevel Optimization for Graph Learning Hashem Ghanem Samuel Vaiter Nicolas Keriven 86 0 0 24 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 32 18 0 06 Mar 2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng E-Wen Huang Nikhil S. Rao Zhangyang Wang Karthik Subbian 31 4 0 27 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo Sungsoo Ahn DiffM 20 3 0 21 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 21 8 0 20 Feb 2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features Chengxiang Lei Sichao Fu Yuetian Wang Wen-Qiang Qiu Yachen Hu Qinmu Peng Xinge You 33 3 0 16 Feb 2023
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 33 1 0 24 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks X. Wu Zhengdao Chen W. Wang Ali Jadbabaie 25 39 0 21 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 28 0 0 01 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 33 0 0 29 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 23 1 0 19 Nov 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 45 22 0 21 Oct 2022
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation Tien-Cuong Bui Van-Duc Le Wen-Syan Li S. Cha 23 3 0 20 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 18 39 0 19 Oct 2022
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation Xin Mao Wenting Wang Yuanbin Wu Man Lan 3DV 31 33 0 19 Oct 2022
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 34 2 0 18 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 41 57 0 14 Oct 2022
Label Propagation with Weak Supervision Rattana Pukdee Dylan Sam Maria-Florina Balcan Pradeep Ravikumar 40 9 0 07 Oct 2022
Learning Tree Structures from Leaves For Particle Decay Reconstruction James Kahn I. Tsaklidis Oskar Taubert Lea Reuter G. Dujany ... A. Thaller P. Goldenzweig F. Bernlochner Achim Streit Markus Gotz 11 11 0 31 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 36 20 0 21 Aug 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 24 1 0 22 Jul 2022
Deep Manifold Learning with Graph Mining Xuelong Li Ziheng Jiao Hongyuan Zhang Rui Zhang GNN 13 0 0 18 Jul 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 56 123 0 06 Jul 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 46 12 0 31 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 34 4 0 27 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Zhiqiang Zhong Sergey Ivanov Jun Pang 40 9 0 19 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension A. Azad 27 1 0 03 May 2022
Visualizing and Explaining Language Models Adrian M. P. Braşoveanu Razvan Andonie MILM VLM 29 4 0 30 Apr 2022