Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

50 / 1,088 papers shown

Title
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network Kanghoon Yoon Kibum Kim Jinyoung Moon Chanyoung Park 41 30 0 01 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 37 64 0 28 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 52 14 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 40 6 0 27 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 28 27 0 25 Nov 2022
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing C. Cui Yumo Yao Chunyun Zhang Hebo Ma Yuling Ma Zhaochun Ren Chen Zhang James Ko AI4Ed 33 26 0 23 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks Xinyu Fu Irwin King 37 16 0 23 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 41 8 0 21 Nov 2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning Zhaoliang Chen Lele Fu J. Yao Wenzhong Guo Claudia Plant Shiping Wang 33 117 0 16 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 23 0 0 15 Nov 2022
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis Hao Tang Ling Shao Philip Torr N. Sebe 23 13 0 12 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 38 12 0 11 Nov 2022
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation Yu Miao Y. Xu Danilo Mandic 23 1 0 09 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 32 6 0 08 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 44 5 0 07 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation Xin Zhou Jinglong Wang Yong Liu Xin Wu Zhiqi Shen Cyril Leung 27 15 0 05 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 21 7 0 04 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 65 8 0 01 Nov 2022
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting Smart Health Ming Dong Ying Li AI4TS 33 4 0 31 Oct 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 47 20 0 31 Oct 2022
When Do We Need Graph Neural Networks for Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Xiaoming Chang Doina Precup 35 0 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Beyond Homophily with Graph Echo State Networks Domenico Tortorella Alessio Micheli 30 4 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 41 0 0 26 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 22 3 0 25 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 30 5 0 24 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs Kedar Karhadkar P. Banerjee Guido Montúfar 39 59 0 21 Oct 2022
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 39 2 0 18 Oct 2022
Unsupervised Optimal Power Flow Using Graph Neural Networks Damian Owerko Fernando Gama Alejandro Ribeiro 27 16 0 17 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 30 7 0 15 Oct 2022
Substructure-Atom Cross Attention for Molecular Representation Learning Jiye G. Kim Seungbeom Lee Dongwoo Kim SungSoo Ahn Jaesik Park 19 4 0 15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 46 10 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 46 57 0 14 Oct 2022
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics S. Rizvi Akash Awasthi Maria J. Peláez Zhihui Wang V. Cristini Hien Nguyen P. Dogra 19 1 0 12 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh Chawla 26 32 0 12 Oct 2022
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation Jhony H. Giraldo V. M. Scarrica A. Staiano F. Camastra T. Bouwmans GNN 23 17 0 11 Oct 2022
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks Jun Wu Weizhi Xu Qiang Liu Shu Wu Liang Wang GNN 39 18 0 11 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 80 13 0 08 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 78 71 0 03 Oct 2022
MultiScale MeshGraphNets Meire Fortunato Tobias Pfaff Peter Wirnsberger Alexander Pritzel Peter W. Battaglia AI4CE 37 68 0 02 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 32 2 0 30 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 27 3 0 29 Sep 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuan-Qi Bei Feiran Huang BDL GNN 21 1 0 25 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 35 14 0 24 Sep 2022
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints Aron Brenner Rahman Khorramfar D. Mallapragada Saurabh Amin 19 3 0 24 Sep 2022
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning Cunling Bian Wei Feng Fanbo Meng Song Wang 3DH 21 6 0 23 Sep 2022
Multi-Granularity Graph Pooling for Video-based Person Re-Identification Honghu Pan Yongyong Chen Zhenyu He 38 31 0 23 Sep 2022
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network Honghu Pan Qiao Liu Yongyong Chen Yunqing He Yuan Zheng Feng Zheng Zhenyu He CVBM 42 14 0 23 Sep 2022