Simple and Deep Graph Convolutional Networks

4 July 2020

Papers citing "Simple and Deep Graph Convolutional Networks"

50 / 678 papers shown

Title
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Recent Advances in Deterministic Human Motion Prediction: A Review Tenghao Deng Yan Sun 3DH 34 0 0 11 Dec 2023
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network Ruyue Liu Rong Yin Yong Liu Weiping Wang SSL 29 3 0 10 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 29 2 0 08 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 40 12 0 07 Dec 2023
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks Gokul S Krishnan Sarala Padi Craig S. Greenberg Balaraman Ravindran Dinesh Manoch Ram D.Sriram 48 2 0 04 Dec 2023
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases Han Zhang Quan Gan David Wipf Weinan Zhang 23 6 0 04 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lio 28 1 0 30 Nov 2023
Sparse Pedestrian Character Learning for Trajectory Prediction Yonghao Dong Le Wang Sanpin Zhou Gang Hua Changyin Sun 41 3 0 27 Nov 2023
Benchmarking Machine Learning Models for Quantum Error Correction Yue Zhao 27 1 0 18 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution Systems Huy Truong Andres Tello Alexander Lazovik Victoria Degeler 45 8 0 17 Nov 2023
Classification of developmental and brain disorders via graph convolutional aggregation Ibrahim Salim A. B. Hamza MedIm 19 11 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lio Yu Guang Wang 37 10 0 09 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 33 3 0 09 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 62 1 0 08 Nov 2023
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach Tuan Nguyen Hirotada Honda Takashi Sano Vinh-Tiep Nguyen Shugo Nakamura Tan-Minh Nguyen 32 4 0 06 Nov 2023
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization Dongcheng Zou Senzhang Wang Xuefeng Li Hao Peng Yuandong Wang Chunyang Liu Kehua Sheng Bo Zhang AI4TS 36 21 0 06 Nov 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 38 0 0 06 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 53 3 0 02 Nov 2023
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? Guopeng Li V. Knoop J. W. C. J. V. Lint 10 1 0 31 Oct 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen J. Hopcroft Kun He 24 0 0 31 Oct 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 31 5 0 30 Oct 2023
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders Qianren Mao Shaobo Zhao Jiarui Li Xiaolei Gu Shizhu He Bo Li Jianxin Li SSL 22 2 0 29 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 38 0 0 26 Oct 2023
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance Donald Loveland Rajmonda Caceres 27 0 0 26 Oct 2023
Graph Neural Networks with a Distribution of Parametrized Graphs See Hian Lee Feng Ji Kelin Xia Wee Peng Tay 47 0 0 25 Oct 2023
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation Anshul Ahluwalia Rohit Das Payman Behnam Alind Khare Pan Li Alexey Tumanov 35 2 0 24 Oct 2023
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things Rohith T. Mittakola Thomas Hassan GNN 10 0 0 23 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 35 2 0 19 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 34 27 0 17 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation Khaled Mohammed Saifuddin M. E. Aktas Esra Akbas 30 1 0 14 Oct 2023
Infinite Width Graph Neural Networks for Node Regression/ Classification Yunus Cobanoglu AI4CE 26 1 0 12 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lio 35 10 0 11 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 33 1 0 09 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 35 12 0 05 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 28 1 0 02 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 44 20 0 02 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 112 72 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 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 Xia Hu 57 0 0 29 Sep 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification Niful Islam Humaira Noor Md. Saddam Hossain Mukta Nur Shazwani Binti Kamarudin Mohaimenul Azam Khan Raiaan Sami Azam 27 7 0 28 Sep 2023
Neuromorphic Imaging and Classification with Graph Learning Pei Zhang Chutian Wang Edmund Y. Lam GNN 20 9 0 27 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 32 6 0 26 Sep 2023
SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture Qiaoling Yang Linkai Luo Haotong Zhang Hong Peng Ziyang Chen 14 0 0 25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 31 5 0 24 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 29 0 0 20 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 33 6 0 14 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou Jiarui Feng Xiyuan Wang Muhan Zhang 27 7 0 10 Sep 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark Jan Tonshoff Martin Ritzert Eran Rosenbluth Martin Grohe 28 47 0 01 Sep 2023