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
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 115 0 0 06 Aug 2024
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning JongWoo Kim SeongYeub Chu HyeongMin Park Bryan Wong MunYong Yi 68 0 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio 116 0 0 29 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 115 0 0 27 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 86 1 0 25 Jul 2024
GLAudio Listens to the Sound of the Graph Aurelio Sulser Johann Wenckstern Clara Kuempel 35 0 0 19 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 123 0 0 19 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 117 4 0 16 Jul 2024
DeepGate3: Towards Scalable Circuit Representation Learning Zhengyuan Shi Ziyang Zheng Sadaf Khan Jianyuan Zhong Min Li Qiang Xu GNN AI4CE 96 11 0 15 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 71 3 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 80 4 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 160 2 0 03 Jul 2024
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction Tinghuai Wang Guangming Wang Kuan Eeik Tan 129 0 0 02 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes Shuaike Xu Xiaolin Zhang Peng Zhang Kun Zhan 124 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 96 2 0 02 Jul 2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks Guangrui Yang Jianfei Li Ming Li Han Feng Ding-Xuan Zhou 87 1 0 01 Jul 2024
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems Hong Qian Shuo Liu Mingjia Li Bingdong Li Zhi Liu Aimin Zhou AI4Ed 61 8 0 28 Jun 2024
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection Chih-Chung Hsu Shao-Ning Chen Mei-Hsuan Wu Yi-Fang Wang Chia-ming Lee Yi-Shiuan Chou CVBM 94 0 0 28 Jun 2024
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition Yi Ding Chengxuan Tong Shuailei Zhang Muyun Jiang Yong Li Kevin Lim Jun Liang Cuntai Guan 70 5 0 26 Jun 2024
Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong Hieu Vu Tianbao Yang Bijaya Adhikari GNN 128 1 0 25 Jun 2024
Synergistic Deep Graph Clustering Network Benyu Wu Shifei Ding Xiao Xu Lili Guo Ling Ding Xindong Wu 64 0 0 22 Jun 2024
Exponential time differencing for matrix-valued dynamical systems Nayef Shkeir Tobias Schäfer T. Grafke 51 0 0 19 Jun 2024
CoDreamer: Communication-Based Decentralised World Models Edan Toledo Amanda Prorok 75 1 0 19 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Sihang Li Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 94 7 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 94 1 0 17 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 92 32 0 13 Jun 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Jeongwhan Choi Sumin Park Hyowon Wi Sung-Bae Cho Noseong Park GNN 108 2 0 06 Jun 2024
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications Oisín M. Morrison F. Pichi J. Hesthaven AI4CE 72 6 0 05 Jun 2024
Graph Neural Networks Do Not Always Oversmooth Bastian Epping Alexandre René M. Helias Michael T. Schaub 105 6 0 04 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 121 1 0 01 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 85 2 0 31 May 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang Sunwoo Kim Kijung Shin Zenglin Xu Shirui Pan Yuan Qi 120 8 0 31 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 143 2 0 30 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 235 5 0 29 May 2024
DPHGNN: A Dual Perspective Hypergraph Neural Networks Siddhant Saxena Shounak Ghatak Raghu Kolla Debashis Mukherjee Tanmoy Chakraborty 91 2 0 26 May 2024
Differentiable Cluster Graph Neural Network Yanfei Dong Mohammed Haroon Dupty Lambert Deng Zhuanghua Liu Yong Liang Goh Wee Sun Lee GNN 81 1 0 25 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 125 3 0 24 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 157 9 0 24 May 2024
Cardinality Estimation on Hyper-relational Knowledge Graphs Fei Teng Haoyang Li Shimin Di Lei Chen 146 3 0 24 May 2024
Analysis of Corrected Graph Convolutions Robert Wang Aseem Baranwal Kimon Fountoulakis 116 0 0 22 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lio 130 30 0 21 May 2024
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation Qingyao Li Wei Xia Kounianhua Du Qiji Zhang Weinan Zhang Ruiming Tang Yong Yu AI4Ed 31 6 0 21 May 2024
Conditional Local Feature Encoding for Graph Neural Networks Yongze Wang Haimin Zhang Qiang Wu Min Xu AI4CE GNN 80 1 0 08 May 2024
Binarized Simplicial Convolutional Neural Networks Yi Yan E. Kuruoglu 103 6 0 07 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 71 10 0 03 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks Yufei Jin Xingquan Zhu 117 2 0 02 May 2024
Lying Graph Convolution: Learning to Lie for Node Classification Tasks Daniele Castellana 68 0 0 02 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 102 4 0 30 Apr 2024
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation Yujing Liu Zongqian Wu Zhengyu Lu Ci Nie Guoqiu Wen Ping Hu Xiaofeng Zhu 87 1 0 27 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 86 1 0 23 Apr 2024