Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,390 papers shown

Title
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
Can Self Supervision Rejuvenate Similarity-Based Link Prediction? Chenhan Zhang Weiqi Wang Zhiyi Tian James Jianqiao Yu Mohamed Ali Kaafar An Liu Shui Yu SSL 24 0 0 24 Oct 2024
Spiking Graph Neural Network on Riemannian Manifolds Li Sun Zhenhao Huang Qiqi Wan Hao Peng Philip S. Yu GNN AI4CE 27 2 0 23 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 30 0 0 21 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 38 0 0 18 Oct 2024
Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis Dimitris Fotakis G. Paliouras SSL 18 0 0 17 Oct 2024
Enhance Graph Alignment for Large Language Models Haitong Luo Xuying Meng Suhang Wang Tianxiang Zhao Fali Wang Hanyun Cao Yujun Zhang 151 1 0 15 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 138 0 0 15 Oct 2024
Echo State Networks for Spatio-Temporal Area-Level Data Zhenhua Wang S. Holan C. Wikle 27 2 0 14 Oct 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu Guansong Pang Ling-Hao Chen Bing Liu CLL 33 3 0 14 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Xunkai Li Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 35 1 0 14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks C. Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 37 0 0 13 Oct 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 40 0 0 13 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive Survey Syed Mustafa Haider Rizvi Ramsha Imran Arif Mahmood GNN OOD FaML 21 0 0 12 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan C. Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 34 0 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
Collusion Detection with Graph Neural Networks Lucas Gomes Jannis Kueck Mara Mattes Martin Spindler Alexey Zaytsev 22 0 0 09 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 28 0 0 08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 37 1 0 07 Oct 2024
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs Hao Miao Zida Liu Jun Gao 27 0 0 07 Oct 2024
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering Jianpeng Chen Yawen Ling Yazhou Ren Zichen Wen Tianyi Wu Shufei Zhang Lifang He 29 0 0 04 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS GNN 42 0 0 01 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 28 0 0 28 Sep 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen Shuo Wang Zhao Kang 25 2 0 25 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 26 1 0 22 Sep 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 136 0 0 21 Sep 2024
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences Xin Wang Xinyi Bai 23 0 0 15 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 52 1 0 13 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 30 1 0 13 Sep 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Yanxin Shen Junyu Luo Ming Zhang Siyu Heng Xiao Luo 43 1 0 13 Sep 2024
Multiplex Graph Contrastive Learning with Soft Negatives Zhenhao Zhao Minhong Zhu Chen Wang Sijia Wang Jiqiang Zhang Li Chen Weiran Cai 29 0 0 12 Sep 2024
Graph Neural Networks for Parkinsons Disease Detection S. A. Sheikh Yacouba Kaloga Md. Sahidullah Ina Kodrasi 34 0 0 12 Sep 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 30 0 0 12 Sep 2024
Learning Personalized Scoping for Graph Neural Networks under Heterophily Gangda Deng Hongkuan Zhou R. Kannan Viktor Prasanna 38 0 0 11 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 28 0 0 09 Sep 2024
Re-evaluating the Advancements of Heterophilic Graph Learning Sitao Luan Qincheng Lu Chenqing Hua Xinyu Wang Jiaqi Zhu Xiao-Wen Chang 57 2 0 09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 37 0 0 07 Sep 2024
On the design space between molecular mechanics and machine learning force fields Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 42 4 0 03 Sep 2024
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuanhui Yang Yuanyuan Zhu Chuang Hu Bo Du Jiawei Jiang VLM 46 0 0 01 Sep 2024
Towards Faster Graph Partitioning via Pre-training and Inductive Inference Meng Qin Chaorui Zhang Yu Gao Yibin Ding Weipeng Jiang Weixi Zhang Wei Han Bo Bai AI4CE 20 0 0 01 Sep 2024
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks Xing Ai Guanyu Zhu Yulin Zhu Yu Zheng Gaolei Li Jianhua Li Kai Zhou AAML 26 0 0 29 Aug 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Bo Li Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 33 1 0 29 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation Ajay Chatterjee Srikanth Ranganathan 39 0 0 21 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 26 0 0 20 Aug 2024
AnyGraph: Graph Foundation Model in the Wild Lianghao Xia Chao Huang OOD 42 10 0 20 Aug 2024
Federated Graph Learning with Structure Proxy Alignment Xingbo Fu Zihan Chen Binchi Zhang Chen Chen Jundong Li FedML 49 6 0 18 Aug 2024
E-CGL: An Efficient Continual Graph Learner Jianhao Guo Zixuan Ni Yun Zhu Siliang Tang CLL 29 0 0 18 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 61 1 0 17 Aug 2024
Neighbor Overlay-Induced Graph Attention Network Tiqiao Wei Ye Yuan GNN 25 1 0 16 Aug 2024