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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
Data Filtering for Genetic Perturbation Prediction G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 502 0 0 01 Jul 2025
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning Guoguo Ai Hezhe Qiao Hui Yan Guansong Pang 31 0 0 18 Jun 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 36 0 0 16 Jun 2025
Taxonomy of reduction matrices for Graph Coarsening Antonin Joly Nicolas Keriven Aline Roumy 14 0 0 13 Jun 2025
LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture Yanhui Li Dongxia Wang Zhu Sun Haonan Zhang Huizhong Guo 105 0 0 12 Jun 2025
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Siyi Sun David Selby Yunchuan Huang Sebastian Vollmer Seth Flaxman Anisoara Calinescu 39 0 0 10 Jun 2025
Topology-aware Neural Flux Prediction Guided by Physics Haoyang Jiang Jindong Wang Xingquan Zhu Yi He AI4CE 50 0 0 06 Jun 2025
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research M. Park Sunghyun Choi Jaeseung Heo Eunhyeok Park Dongwoo Kim AI4CE 107 1 0 05 Jun 2025
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs N. Lell A. Scherp 101 0 0 05 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 67 0 0 03 Jun 2025
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Mihai Cucuringu Henry Kenlay Li Zhang Ning Zhang Xiaowen Dong GNN AAML 64 0 0 01 Jun 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Juwei Yue Haikuo Li Jiawei Sheng Xiaodong Li Taoyu Su Tingwen Liu Li Guo 45 0 0 29 May 2025
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Shuo Wang Shunyang Huang Jinghui Yuan Zhixiang Shen Zhao Kang 33 0 0 27 May 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 42 0 0 27 May 2025
Graph Wave Networks Juwei Yue Haikuo Li Jiawei Sheng Yihan Guo Xinghua Zhang Chuan Zhou Tingwen Liu Li Guo 244 1 0 26 May 2025
Learn Beneficial Noise as Graph Augmentation Siqi Huang Yanchen Xu Hongyuan Zhang Xuelong Li 33 2 0 25 May 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering Xurong Liang Tong Chen Wei Yuan Hongzhi Yin 17 0 0 25 May 2025
Using Large Language Models to Tackle Fundamental Challenges in Graph Learning: A Comprehensive Survey Mengran Li Pengyu Zhang Wenbin Xing Yijia Zheng Klim Zaporojets ... Jia Hu Xiaolei Ma Zhiyuan Liu Paul Groth Marcel Worring AI4CE 132 0 0 24 May 2025
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification Chenyang Li Jinsong Chen John E. Hopcroft Kun He 45 0 0 23 May 2025
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse Josh Alman Zhao Song 101 2 0 22 May 2025
Unlearning Algorithmic Biases over Graphs O. Deniz Kose Gonzalo Mateos Yanning Shen MU FaML 144 0 0 20 May 2025
TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction Frederik Wenkel Wilson Tu Cassandra Masschelein Hamed Shirzad Cian Eastwood ... Jiarui Ding Marta M. Fay Berton Earnshaw Emmanuel Noutahi Alisandra K. Denton OODD 72 1 0 20 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 209 0 0 20 May 2025
Nonparametric Teaching for Graph Property Learners Chen Zhang Weixin Bu Zhaochun Ren Ziyue Liu Yik-Chung Wu Ngai Wong 143 0 0 20 May 2025
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models Zhibiao Wang Yunlong Zhou Ziwei Zhang Mengmei Zhang Shirui Pan Chunming Hu Xiao Wang 70 0 0 19 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Mohit Kataria Shreyash Bhilwade Sandeep Kumar Jayadeva 66 0 0 18 May 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform Josh Alman Zhao Song 103 16 0 17 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 184 1 0 09 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 110 0 0 04 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Miao Hu Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 69 0 0 02 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 100 0 0 01 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 117 2 0 29 Apr 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Junyuan Fang Han Yang Haixian Wen Jiajing Wu Zibin Zheng Chi K. Tse AAML 110 0 0 29 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 467 0 0 25 Apr 2025
Heterogeneous networks in drug-target interaction prediction Mohammad Molaee Nasrollah Moghadam Charkari Foad Ghaderi 121 0 0 22 Apr 2025
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network Wenjing Xiao Chenglong Shi Miaojiang Chen Zhiquan Liu Min Chen Haiwen Song 62 0 0 22 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Jianpeng Qi Yuan Cao Guoqing Chao Yanwei Yu Junyu Dong Yanwei Yu GNN 106 0 0 22 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 177 0 0 18 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 75 0 0 17 Apr 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 105 0 0 16 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation Aoran Liu Kun Hu Clinton Mo Cuiping Li Zhiyong Wang 3DH AI4CE 74 0 0 16 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Miao Hu Yinlin Zhu Daohan Su Bowen Fan Rong-Hua Li Guoren Wang Chenghu Zhou FedML 77 0 0 14 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Miao Hu Yinlin Zhu Rong-Hua Li Guoren Wang Chenghu Zhou FedML 121 0 0 13 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei Jin AI4TS AI4CE 524 1 0 29 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 118 1 0 25 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning Yilong Wang Jing Zhang Tianxiang Zhao Suhang Wang AAML 83 1 0 23 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 134 0 0 23 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks Maryam Abdolali Romina Zakerian Behnam Roshanfekr Fardin Ayar Mohammad Rahmati 112 0 0 22 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 248 0 0 16 Mar 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors Jun-Gi Jang Jingrui He A. Margenot Hanghang Tong 62 0 0 14 Mar 2025