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"

50 / 1,098 papers shown

Title
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 163 1 0 17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 201 11 0 10 Jan 2025
Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Mengshi Qi Zhe Zhao Huadong Ma 127 1 0 08 Jan 2025
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules Hongwei Du Jiamin Wang Jian Hui Lanting Zhang Hong Wang AI4CE GNN 78 8 0 08 Jan 2025
Optimizing Supply Chain Networks with the Power of Graph Neural Networks Chi-Sheng Chen Ying-Jung Chen AI4TS 82 3 0 07 Jan 2025
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Gyeongmin Gu Minseo Jeon Hyun-Je Song Jinhong Jung 166 0 0 25 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li Hongyuan Zhang Yuan Yuan 129 1 0 15 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 145 1 0 10 Dec 2024
Residual Hyperbolic Graph Convolution Networks Yangkai Xue Jindou Dai Zhipeng Lu Yuwei Wu Yunde Jia 157 4 0 05 Dec 2024
From ChebNet to ChebGibbsNet Jie M. Zhang Min-Te Sun GNN 105 2 0 02 Dec 2024
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs Tae-Hoon Lee Min-Soo Kim 150 0 0 29 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye Wentao Zhang Hongzhi Yin 166 2 0 26 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 157 3 0 23 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 121 0 0 21 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 132 0 0 20 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 143 0 0 19 Nov 2024
Visual-Semantic Graph Matching Net for Zero-Shot Learning Bowen Duan Shiming Chen Yufei Guo Guo-Sen Xie Weiping Ding Yisong Wang 145 1 0 18 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xiang Wang Muhan Zhang 95 1 0 06 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment Andrea Protani Lorenzo Giusti Albert Sund Aillet Simona Sacco Paolo Manganotti ... Pierpaolo Brutti Pietro Caliandro Luigi Serio Pietro Caliandro Luigi Serio FedML 61 0 0 04 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 175 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 85 1 0 31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant Jinyoung Park Minseong Bae Dohwan Ko Hyunwoo J. Kim 103 3 0 31 Oct 2024
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing Julia Balla S. Mishra-Sharma C. Cuesta-Lázaro Tommi Jaakkola Tess E. Smidt 69 1 0 27 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 133 0 0 26 Oct 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning Dachun Sun Ruijie Wang Jinning Li Ruipeng Han Xinyi Liu You Lyu Tarek Abdelzaher 67 0 0 24 Oct 2024
Dynamic graph neural networks for enhanced volatility prediction in financial markets Pulikandala Nithish Kumar Nneka Umeorah Alex Alochukwu 57 0 0 22 Oct 2024
Deep Graph Attention Networks Jun Kato Airi Mita Keita Gobara Akihiro Inokuchi GNN 45 0 0 21 Oct 2024
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding Yang Liu Daizong Liu Wei Hu 3DPC 95 1 0 21 Oct 2024
Generalized Probabilistic Attention Mechanism in Transformers DongNyeong Heo Heeyoul Choi 114 1 0 21 Oct 2024
Conditional Prediction ROC Bands for Graph Classification Yujia Wu Bo Yang Elynn Chen Yuzhou Chen Zheshi Zheng UQCV 72 2 0 20 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 70 0 0 18 Oct 2024
Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos SSL 69 0 0 17 Oct 2024
GraFPrint: A GNN-Based Approach for Audio Identification Aditya Bhattacharjee Shubhr Singh Emmanouil Benetos 95 1 0 14 Oct 2024
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 71 2 0 11 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 182 0 0 11 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective Xueying Bai Yifan Sun Niranjan Balasubramanian CLL 68 0 0 08 Oct 2024
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification Francisco M. Castro-Macías Pablo Morales-Álvarez Yunan Wu Rafael Molina Aggelos K. Katsaggelos 65 1 0 04 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 267 6 0 04 Oct 2024
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 158 6 0 03 Oct 2024
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition Wen Ge Guanyi Mou Emmanuel O. Agu Kyumin Lee HAI BDL 62 6 0 27 Sep 2024
Hand-object reconstruction via interaction-aware graph attention mechanism Taeyun Woo Tae-Kyun Kim Jinah Park 3DH 79 0 0 26 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 83 4 0 17 Sep 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems Fu Lin Jiasheng Shi Shijie Luo Qinpei Zhao Weixiong Rao Lei Chen AI4CE 75 0 0 07 Sep 2024
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs Zhixiang Cheng Hongxin Xiang Pengsen Ma Li Zeng Xin Jin ... Yang Deng Bosheng Song Xinxin Feng Changhui Deng Xiangxiang Zeng 76 0 0 02 Sep 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes Sakhinana Sagar Srinivas Rajat Kumar Sarkar Sreeja Gangasani Venkataramana Runkana 105 2 0 21 Aug 2024
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge Nuo Xu Peijie Wang Junzhou Zhao Feiyang Sun Lin Lan Jing Tao Li Pan Xiaohong Guan AILaw 125 2 0 18 Aug 2024
Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing Muhammad Tayyab Khan Wenhe Feng Lequn Chen Ye Han Ng Nicholas Yew Jin Tan Seung Ki Moon 62 1 0 13 Aug 2024
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting Zibo Liu Zhe Jiang Shigang Chen AI4TS 102 0 0 12 Aug 2024
Emotion Classification from Multi-Channel EEG Signals Using HiSTN: A Hierarchical Graph-based Spatial-Temporal Approach Dongyang Kuang Xinyue Song C. Michoski 41 0 0 09 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 163 7 0 07 Aug 2024