Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

Papers citing "Revisiting Semi-Supervised Learning with Graph Embeddings"

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Title
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo SungSoo Ahn DiffM 20 3 0 21 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Yuanhai Lv Lining Xing Baosheng Yu Dacheng Tao 58 4 0 19 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 27 4 0 17 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 29 2 0 07 Feb 2023
Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang Hao-Ting Yang Muhan Zhang GNN LRM 34 48 0 02 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 27 0 0 01 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 42 4 0 01 Feb 2023
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification Sonny Achten F. Tonin Panagiotis Patrinos Johan A. K. Suykens 45 4 0 31 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective Xu Wang Pengfei Gu Pengkun Wang Binwu Wang Zhengyang Zhou Lei Bai Yang Wang GNN 20 3 0 27 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 39 5 0 26 Jan 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs Sanjukta Krishnagopal Luana Ruiz 48 10 0 25 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 34 83 0 23 Jan 2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Yeskendir Koishekenov 19 2 0 07 Jan 2023
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua Xiao-Wen Chang Doina Precup GNN 21 33 0 21 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks X. Wu Zhengdao Chen W. Wang Ali Jadbabaie 50 41 0 21 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 37 5 0 17 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 28 26 0 11 Dec 2022
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation Nicolas Nytko Ali Taghibakhshi Tareq Uz Zaman S. MacLachlan Luke N. Olson Matthew West 29 7 0 10 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma Xingjian Zhang Hezheng Fan Jin Huang Tianyue Li Tinghong Li Yiwen Tu Chen Zhu Qiaozhu Mei 45 5 0 08 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 36 0 0 04 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada L. Kara 43 12 0 01 Dec 2022
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 38 7 0 30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 38 0 0 29 Nov 2022
FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong Yijun Tian Zhichun Guo Yang Yang Nitesh Chawla 36 12 0 29 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 37 64 0 28 Nov 2022
ReGrAt: Regularization in Graphs using Attention to handle class imbalance Neeraja Kirtane Jeshuren Chelladurai B. Ravindran Ashish V. Tendulkar 22 0 0 27 Nov 2022
Latent Graph Inference using Product Manifolds Haitz Sáez de Ocáriz Borde Anees Kazi Federico Barbero Pietro Lio BDL 45 19 0 26 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 31 27 0 25 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 36 71 0 25 Nov 2022
Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction Jianfeng Wu Sijie Mai Haifeng Hu 24 0 0 22 Nov 2022
Learnable Graph Convolutional Attention Networks Adrián Javaloy Pablo Sánchez-Martín Amit Levi Isabel Valera GNN 24 10 0 21 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Danny Chen Jian Wu NoLa 43 34 0 12 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs Claudia Vanea Jonathan Campbell Omri Dodi L. Salumäe K. Meir ... H. Hochner T. Laisk L. Ernst C. Lindgren C. Nellåker 27 3 0 11 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 38 12 0 11 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network Chuxuan Hu Qinghai Zhou Hanghang Tong 22 0 0 08 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs Marios Papachristou Rishab Goel Frank Portman M. Miller Rong Jin 28 0 0 01 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 47 20 0 31 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 32 5 0 24 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 38 1 0 21 Oct 2022
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook Tunazzina Islam Shamik Roy Dan Goldwasser 23 6 0 19 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 40 16 0 17 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 30 7 0 15 Oct 2022
Unveiling the Sampling Density in Non-Uniform Geometric Graphs Raffaele Paolino Aleksandar Bojchevski Stephan Günnemann Gitta Kutyniok Ron Levie 35 2 0 15 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 84 4 0 14 Oct 2022
A Brief Survey on Representation Learning based Graph Dimensionality Reduction Techniques A. Akella 19 0 0 13 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 32 41 0 11 Oct 2022
Intrinsic Dimension for Large-Scale Geometric Learning Maximilian Stubbemann Tom Hanika Friedrich Martin Schneider PINN 53 5 0 11 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 48 8 0 08 Oct 2022