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
Visual-Semantic Graph Matching Net for Zero-Shot Learning Bowen Duan Shiming Chen Yufei Guo Guo-Sen Xie Weiping Ding Yisong Wang 73 0 0 18 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang X. Wang Muhan Zhang 36 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 27 0 0 04 Nov 2024
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network Jincheng Huang Yujie Mo Xiaoshuang Shi Lei Feng Xiaofeng Zhu 39 0 0 04 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis G. Paliouras 34 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 37 0 0 31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant Jinyoung Park Minseong Bae Dohwan Ko Hyunwoo J. Kim 37 1 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 29 1 0 27 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 29 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 F. Abdelzaher 34 0 0 24 Oct 2024
Dynamic graph neural networks for enhanced volatility prediction in financial markets Pulikandala Nithish Kumar Nneka Umeorah Alex Alochukwu 25 0 0 22 Oct 2024
Deep Graph Attention Networks Jun Kato Airi Mita Keita Gobara Akihiro Inokuchi GNN 19 0 0 21 Oct 2024
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding Yang Liu Daizong Liu Wei Hu 3DPC 16 1 0 21 Oct 2024
Generalized Probabilistic Attention Mechanism in Transformers DongNyeong Heo Heeyoul Choi 54 0 0 21 Oct 2024
Conditional Prediction ROC Bands for Graph Classification Yujia Wu Bo Yang Elynn Chen Yuzhou Chen Zheshi Zheng UQCV 26 2 0 20 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 31 0 0 18 Oct 2024
Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis Dimitris Fotakis G. Paliouras SSL 16 0 0 17 Oct 2024
GraFPrint: A GNN-Based Approach for Audio Identification Aditya Bhattacharjee Shubhr Singh Emmanouil Benetos 21 0 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 35 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 52 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 24 0 0 08 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 30 5 0 04 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 28 1 0 04 Oct 2024
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 44 2 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 18 4 0 27 Sep 2024
Hand-object reconstruction via interaction-aware graph attention mechanism Taeyun Woo Tae-Kyun Kim Jinah Park 3DH 24 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 33 3 0 17 Sep 2024
Learning Personalized Scoping for Graph Neural Networks under Heterophily Gangda Deng Hongkuan Zhou R. Kannan Viktor Prasanna 36 0 0 11 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 27 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 28 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 35 2 0 21 Aug 2024
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge Nuo Xu P. Wang Junzhou Zhao Feiyang Sun Lin Lan Jing Tao Li Pan Xiaohong Guan AILaw 32 1 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 16 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 29 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 29 0 0 09 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 23 5 0 07 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 58 0 0 06 Aug 2024
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning JongWoo Kim SeongYeub Chu HyeongMin Park Bryan Wong MunYong Yi 33 0 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio' 40 0 0 29 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 41 0 0 27 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 30 1 0 25 Jul 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models Quan Li Tianxiang Zhao Lingwei Chen Junjie Xu Suhang Wang AI4CE 46 0 0 19 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 46 2 0 16 Jul 2024
DeepGate3: Towards Scalable Circuit Representation Learning Zhengyuan Shi Ziyang Zheng Sadaf Khan Jianyuan Zhong Min Li Qiang Xu GNN AI4CE 36 8 0 15 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 36 1 0 05 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He Zhenyu Hou Yukuo Cen Feng He Xu Cheng Bryan Hooi AI4CE 27 3 0 04 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 55 2 0 03 Jul 2024
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction Tinghuai Wang Guangming Wang Kuan Eeik Tan 29 0 0 02 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes Shuaike Xu Xiaolin Zhang Peng Zhang Kun Zhan 38 1 0 02 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 49 1 0 02 Jul 2024