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 / 1,098 papers shown

Title
RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution Yuan Meng Xuhao Pan Jun Chang Yue Wang 33 1 0 10 Sep 2023
Efficient Baselines for Motion Prediction in Autonomous Driving Carlos Gómez-Huélamo Marcos V. Conde R. Barea Manuel Ocaña L. Bergasa 71 8 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 81 12 0 06 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 114 14 0 31 Aug 2023
Curvature-based Pooling within Graph Neural Networks Cedric Sanders Andreas Roth Thomas Liebig 80 5 0 31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 98 18 0 31 Aug 2023
Spatio-temporal MLP-graph network for 3D human pose estimation T. Hassan A. Ben Hamza 3DH 83 4 0 29 Aug 2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition Yijin Li Han Zhou Bangbang Yang Yexin Zhang Zhaopeng Cui Hujun Bao Guofeng Zhang 95 98 0 28 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 79 22 0 28 Aug 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification Ziqi Yang Zhongyu Li Chen Liu Xiangde Luo Xingguang Wang Dou Xu Chao-Ting Li Xiaoying Qin Meng Yang Long Jin 76 1 0 24 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 73 9 0 19 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 57 4 0 18 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 103 4 0 18 Aug 2023
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models Dohwan Ko Ji Soo Lee M. Choi Jaewon Chu Jihwan Park Hyunwoo J. Kim 55 6 0 18 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu Alessio Micheli 75 7 0 17 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 59 3 0 15 Aug 2023
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes Quang Truong Peter Chin GNN 94 9 0 13 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 74 43 0 13 Aug 2023
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects Chao Zhang Xingyue Pu Ning Zhang Xiaowen Dong 24 4 0 01 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 124 15 0 01 Aug 2023
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks Guangxi Fan Leilai Shao Kain Lu Low 43 2 0 01 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 92 1 0 31 Jul 2023
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding Yapeng Su Tong Zhao Zicheng Zhang 63 2 0 31 Jul 2023
Graph-based Polyphonic Multitrack Music Generation Emanuele Cosenza Andrea Valenti D. Bacciu 57 4 0 27 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 148 12 0 22 Jul 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li Zijie Guo Qiuting He Hao Xu Kun He 115 3 0 17 Jul 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection Yu Zheng Huan Yee Koh Ming Jin Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen Wei Xiang AI4TS 108 32 0 17 Jul 2023
Body Fat Estimation from Surface Meshes using Graph Neural Networks Tamara T. Mueller Si-Ping Zhou Sophie Starck F. Jungmann Alexander Ziller Orhun Aksoy Danylo Movchan R. Braren Georgios Kaissis Daniel Rueckert 3DH 63 3 0 13 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 78 4 0 13 Jul 2023
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting Lincan Li Kaixiang Yang Feng Luo Jichao Bi AI4TS 62 3 0 05 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 156 4 0 05 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 89 13 0 04 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction Xunlian Luo Chunjiang Zhu Detian Zhang Qing Li GNN AI4TS 111 7 0 02 Jul 2023
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog Jiang Li Xiaoping Wang Zhigang Zeng 68 4 0 02 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 68 6 0 01 Jul 2023
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks J. Park Jeonghee Jo Sungroh Yoon 103 10 0 28 Jun 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions Lukas Gosch Simon Geisler Daniel Sturm Bertrand Charpentier Daniel Zügner Stephan Günnemann AAML GNN 101 32 0 27 Jun 2023
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons Wei Huang Yuanbin Cao Hong Wang Xin Cao Taiji Suzuki MLT 95 8 0 24 Jun 2023
PathMLP: Smooth Path Towards High-order Homophily Chenxuan Xie Jiajun Zhou Sheng Gong Jiacheng Wan Jiaxu Qian Shanqing Yu Qi Xuan Xiaoniu Yang 64 8 0 23 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 89 5 0 22 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations G. Dezoort Boris Hanin AI4CE 89 3 0 20 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 109 7 0 18 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Ziqiang Liu Hao Hao SSL 47 1 0 14 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 102 5 0 14 Jun 2023
Discrete Graph Auto-Encoder Yoann Boget Magda Gregorova Alexandros Kalousis 46 4 0 13 Jun 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks Wei Liu Xiyan Fu Michael Strube GNN 65 3 0 10 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said Roza G. Bayrak Hanyu Wang Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 100 27 0 09 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 119 66 0 07 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 61 31 0 04 Jun 2023