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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 181 0 0 26 Nov 2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Amirabbas Afzali Hesam Hosseini Mohmmadamin Mirzai Arash Amini AI4TS 116 1 0 25 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 166 5 0 25 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 111 0 0 23 Nov 2024
A Theory for Compressibility of Graph Transformers for Transductive Learning Hamed Shirzad Honghao Lin A. Velingker B. Venkatachalam David P. Woodruff Danica J. Sutherland 154 2 0 20 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 125 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 138 0 0 19 Nov 2024
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 93 2 0 17 Nov 2024
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs Xingzhi Guo Silong Wang Baojian Zhou Yanghua Xiao Steven Skiena 93 1 0 11 Nov 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 90 2 0 10 Nov 2024
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling Yu Liu Steve Yang Jingtao Ding Quanming Yao Yongqian Li 63 2 0 09 Nov 2024
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization Jacob Nielsen Lukas Galke Peter Schneider-Kamp MQ 98 1 0 08 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 66 1 0 07 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck Shuangjie Li Jiangqing Song Baoming Zhang Gaoli Ruan Junyuan Xie Chongjun Wang 65 1 0 07 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 99 1 0 06 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xiang Wang Muhan Zhang 95 1 0 06 Nov 2024
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks Jinyin Chen Haonan Ma Haibin Zheng DiffM AAML 57 0 0 05 Nov 2024
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs Weiheng Wu Wei Qiao Wenhao Yan Bo-Sian Jiang Yuling Liu Baoxu Liu Zhigang Lu JunRong Liu 56 0 0 05 Nov 2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 64 0 0 04 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 214 0 0 03 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 85 1 0 31 Oct 2024
End-to-End Ontology Learning with Large Language Models Andy Lo Albert Q. Jiang Wenda Li M. Jamnik 48 3 0 31 Oct 2024
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering Zichen Wen Tianyi Wu Yazhou Ren Yawen Ling Chenhang Cui X. Pu Lifang He 75 1 0 30 Oct 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 98 1 0 29 Oct 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 60 0 0 28 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 204 4 0 28 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han Huzefa Rangwala Yue Ning BDL OOD CML 78 0 0 27 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 122 0 0 26 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 205 0 0 25 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 153 5 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 84 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 48 2 0 23 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 59 0 0 21 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 65 0 0 18 Oct 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts Chaoxi Niu Hezhe Qiao Changlu Chen Ling-Hao Chen Guansong Pang 100 2 0 18 Oct 2024
Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos SSL 64 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 433 2 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 481 0 0 15 Oct 2024
Echo State Networks for Spatio-Temporal Area-Level Data Zhenhua Wang S. Holan C. Wikle 51 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 151 6 0 14 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Miao Hu Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 108 1 0 14 Oct 2024
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs Haozhen Zhang Tao Feng Jiaxuan You AI4TS RALM 126 5 0 14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks Changbo Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 67 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 147 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 51 2 0 12 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan Cuiping Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 60 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 176 0 0 11 Oct 2024
Collusion Detection with Graph Neural Networks Lucas Gomes Jannis Kueck Mara Mattes Martin Spindler Alexey Zaytsev 106 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 99 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 68 0 0 08 Oct 2024