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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
Manufacturing Service Capability Prediction with Graph Neural Networks Yunqing Li Xiaorui Liu B. Starly 34 8 0 25 Mar 2024
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks Hongyin Zhu GNN 86 0 0 24 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 122 25 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 145 8 0 22 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks Zhaoliang Chen Zhihao Wu Ylli Sadikaj Claudia Plant Hong-Ning Dai Shiping Wang Wenzhong Guo AAML 87 1 0 14 Mar 2024
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation Yuting Liu Yizhou Dang Yuliang Liang Qiang Liu Guibing Guo Jianzhe Zhao Xingwei Wang 38 3 0 13 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lio 133 6 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 133 13 0 12 Mar 2024
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem Runze Guo Feng Xue Anlong Ming N. Sebe 132 0 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 94 2 0 10 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter Günter Klambauer Andreas Mayr 101 5 0 07 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 78 8 0 05 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li Jiajun Bu Bingsheng He TTA 86 13 0 03 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 92 0 0 02 Mar 2024
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks Zhen Hao Wong Hansi Yang Xiaoyi Fu Quanming Yao 44 1 0 29 Feb 2024
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining Fanjin Zhang Shijie Shi Yifan Zhu Bo Chen Yukuo Cen ... Huihui Yuan Jian Song Xiaoyan Li Yuxiao Dong Jie Tang 95 20 0 24 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 86 30 0 21 Feb 2024
A unifying primary framework for quantum graph neural networks from quantum graph states Ammar Daskin GNN 71 1 0 20 Feb 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing Chakib Fettal Lazhar Labiod M. Nadif 106 1 0 20 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 71 6 0 17 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 95 6 0 16 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 70 8 0 14 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 73 2 0 14 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 69 0 0 14 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 85 4 0 13 Feb 2024
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective Kai Guo Hongzhi Wen Wei Jin Yaming Guo Jiliang Tang Yi Chang OOD AI4CE 57 4 0 13 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 117 71 0 13 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 105 5 0 09 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Miao Hu Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 103 13 0 09 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 112 7 0 08 Feb 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu Zeyu Fang Zhen Zhang Ming Gu Sheng Zhou Xin Eric Wang Jiajun Bu AI4CE 91 16 0 08 Feb 2024
Learning on Multimodal Graphs: A Survey Ciyuan Peng Jiayuan He Xiwei Xu 81 10 0 07 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 128 26 0 07 Feb 2024
Adaptive Hypergraph Network for Trust Prediction Rongwei Xu Guanfeng Liu Yan Wang Xuyun Zhang Kai Zheng Xiaofang Zhou 54 1 0 07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 157 14 0 07 Feb 2024
Scalable Multi-view Clustering via Explicit Kernel Features Maps Chakib Fettal Lazhar Labiod M. Nadif 28 0 0 07 Feb 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee Sunwoo Kim Fanchen Bu Jaemin Yoo Jiliang Tang Kijung Shin 119 6 0 07 Feb 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 89 12 0 07 Feb 2024
On provable privacy vulnerabilities of graph representations Ruofan Wu Guanhua Fang Qiying Pan Mingyang Zhang Tengfei Liu Weiqiang Wang AAML 57 0 0 06 Feb 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 107 6 0 06 Feb 2024
Asymptotic generalization error of a single-layer graph convolutional network O. Duranthon L. Zdeborová MLT 85 2 0 06 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Sihang Li Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 119 21 0 05 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 103 8 0 04 Feb 2024
Active Learning for Graphs with Noisy Structures Hongliang Chi Cong Qi Suhang Wang Yao Ma 83 3 0 04 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi Wei Jin Charu C. Aggarwal Yao Ma 50 3 0 02 Feb 2024
PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs Ying Su Jipeng Zhang Yangqiu Song Tong Zhang 62 1 0 31 Jan 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 76 2 0 28 Jan 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem Chen Huang Haoyang Li Yifan Zhang Wenqiang Lei Jiancheng Lv 80 4 0 26 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 124 5 0 26 Jan 2024