Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

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Title
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 32 0 0 08 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 33 11 0 05 Nov 2023
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation Ali Khodabandeh Yalabadi Mehdi Yazdani-Jahromi Niloofar Yousefi Aida Tayebi Sina Abdidizaji O. Garibay 10 2 0 04 Nov 2023
Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability Stefan Kambiz Behfar Jon Crowcroft GNN 11 0 0 02 Nov 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 31 5 0 30 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 38 0 0 26 Oct 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li 30 6 0 25 Oct 2023
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion Kunze Wang S. Han Josiah Poon 21 3 0 24 Oct 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 39 36 0 23 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 38 9 0 22 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 32 2 0 19 Oct 2023
WeaveNet for Approximating Two-sided Matching Problems Shusaku Sone Jiaxin Ma Atsushi Hashimoto Naoya Chiba Yoshitaka Ushiku GNN 14 2 0 19 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Haitian Jiang Renjie Liu Xiao Yan Zhenkun Cai Minjie Wang David Wipf Minjie Wang David Wipf GNN AI4CE 21 3 0 19 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction Wentao Yu Shuo Chen Chen Gong Gang Niu Masashi Sugiyama ViT 45 2 0 11 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 48 4 0 11 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 26 1 0 09 Oct 2023
DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking Shangyu Xing Fei Zhao Zhen Wu Chunhui Li Jianbing Zhang Xinyu Dai 35 8 0 09 Oct 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 45 34 0 08 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 30 19 0 08 Oct 2023
Latent Graph Inference with Limited Supervision Jianglin Lu Yi Tian Xu Huan Wang Yue Bai Yun Fu 27 4 0 06 Oct 2023
On the Two Sides of Redundancy in Graph Neural Networks Vidya Sagar Sharma Samir Moustafa Johannes Langguth Wilfried N. Gansterer Nils M. Kriege 32 1 0 06 Oct 2023
Controlling Topic-Focus Articulation in Meaning-to-Text Generation using Graph Neural Networks Chunliu Wang Rik van Noord Johan Bos AI4CE 18 0 0 03 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 41 2 0 03 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 40 20 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency Christian Koke Abhishek Saroha Yuesong Shen Marvin Eisenberger Daniel Cremers GNN 30 1 0 30 Sep 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 42 3 0 28 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 32 6 0 26 Sep 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang ... Tong Geng Chenghong Wang Xiaolin Xu Wujie Wen Caiwen Ding 29 36 0 25 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 29 5 0 24 Sep 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution Cong Xu Jun Wang Jianyong Wang Wei Zhang GNN 29 1 0 24 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 42 1 0 23 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 34 19 0 20 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature Lukas Fesser Melanie Weber 65 20 0 17 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 33 6 0 14 Sep 2023
RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution Yuan Meng Xuhao Pan Jun Chang Yue Wang 14 1 0 10 Sep 2023
Efficient Baselines for Motion Prediction in Autonomous Driving Carlos Gómez-Huélamo Marcos V. Conde R. Barea Manuel Ocaña L. Bergasa 21 4 0 06 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 33 11 0 06 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 49 12 0 31 Aug 2023
Curvature-based Pooling within Graph Neural Networks Cedric Sanders Andreas Roth Thomas Liebig 41 5 0 31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 38 16 0 31 Aug 2023
Spatio-temporal MLP-graph network for 3D human pose estimation T. Hassan A. Ben Hamza 3DH 35 3 0 29 Aug 2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition Yijin Li Han Zhou Bangbang Yang Yexin Zhang Zhaopeng Cui Hujun Bao Guofeng Zhang 30 95 0 28 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 36 15 0 28 Aug 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification Ziqi Yang Zhongyu Li Chen Liu Xiangde Luo Xingguang Wang Dou Xu Chao-Ting Li Xiaoying Qin Meng Yang Long Jin 37 0 0 24 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Keli Zhang Yang Wang 37 8 0 19 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 33 3 0 18 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 36 3 0 18 Aug 2023
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models Dohwan Ko Ji Soo Lee M. Choi Jaewon Chu Jihwan Park Hyunwoo J. Kim 22 5 0 18 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu Alessio Micheli 21 6 0 17 Aug 2023