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Simplifying Graph Convolutional Networks

19 February 2019

Papers citing "Simplifying Graph Convolutional Networks"

50 / 1,418 papers shown

Title
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 83 0 0 06 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 103 12 0 05 Nov 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 89 5 0 30 Oct 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach Nurendra Choudhary Nikhil S. Rao Chandan K. Reddy 56 7 0 29 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 102 14 0 28 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 66 0 0 26 Oct 2023
Graph Agent: Explicit Reasoning Agent for Graphs Qinyong Wang Zhenxiang Gao Rong Xu AI4CE 55 5 0 25 Oct 2023
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things Rohith T. Mittakola Thomas Hassan GNN 35 0 0 23 Oct 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 81 40 0 23 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 72 1 0 23 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 104 12 0 23 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 84 10 0 20 Oct 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 56 3 0 18 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 100 20 0 18 Oct 2023
Hetero $^2$ Net: Heterophily-aware Representation Learning on Heterogenerous Graphs Jintang Li Zheng Wei Jiawang Dan Jing Zhou Yuchang Zhu ... Zhang Zhen Changhua Meng Hong Jin Zibin Zheng Liang Chen 57 3 0 18 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 90 31 0 17 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 85 5 0 17 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 113 10 0 17 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 77 0 0 16 Oct 2023
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 76 13 0 16 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 81 14 0 14 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 133 10 0 13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 71 45 0 13 Oct 2023
FABind: Fast and Accurate Protein-Ligand Binding Qizhi Pei Kaiyuan Gao Lijun Wu Jinhua Zhu Yingce Xia Shufang Xie Tao Qin Kun He Tie-Yan Liu Rui Yan 129 21 0 10 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 81 8 0 08 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 62 1 0 08 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 84 3 0 03 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 192 80 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 96 80 0 01 Oct 2023
Technical Report of 2023 ABO Fine-grained Semantic Segmentation Competition Zeyu Dong 3DPC 73 0 0 30 Sep 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Helen Zhou 109 0 0 29 Sep 2023
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach Yingzhen Yang 87 4 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 140 5 0 27 Sep 2023
Neuromorphic Imaging and Classification with Graph Learning Pei Zhang Chutian Wang Edmund Y. Lam GNN 39 9 0 27 Sep 2023
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network Kaiyuan Zhang Ziyi Ye Qingyao Ai Xiaohui Xie Yu-an Liu 67 2 0 27 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 97 18 0 26 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 89 6 0 26 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 115 1 0 23 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 74 19 0 22 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 62 0 0 20 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 100 20 0 20 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 110 42 0 18 Sep 2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis Xiangzhu Meng Wei Wei Qiang Liu Shu Wu Liang Wang 36 0 0 14 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 98 0 0 11 Sep 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings Jiaxu Liu Xinping Yi Tianle Zhang Xiaowei Huang 47 0 0 09 Sep 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho Seunghyuk Cho Sungwoo Park Hankook Lee Ho Hin Lee Moontae Lee 106 7 0 08 Sep 2023
Promoting Fairness in GNNs: A Characterization of Stability Yaning Jia Chunhui Zhang AAML 91 0 0 07 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 58 4 0 07 Sep 2023
ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese Chau-Thang Phan Quoc-Nam Nguyen Chi-Thanh Dang Trong-Hop Do Kiet Van Nguyen GNN 39 1 0 06 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 79 12 0 06 Sep 2023