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 / 1,084 papers shown

Title
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes Quang Truong Peter Chin GNN 24 7 0 13 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 16 38 0 13 Aug 2023
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects Chao Zhang Xingyue Pu Mihai Cucuringu Xiaowen Dong 17 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 15 12 0 01 Aug 2023
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks Guangxi Fan Leilai Shao Kain Lu Low 21 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 31 1 0 31 Jul 2023
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding Yapeng Su Tong Zhao Zicheng Zhang 32 1 0 31 Jul 2023
Graph-based Polyphonic Multitrack Music Generation Emanuele Cosenza Andrea Valenti D. Bacciu 21 4 0 27 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 41 11 0 22 Jul 2023
Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li Zijie Guo Qiuting He Hao Xu Kun He 19 2 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 13 25 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 26 3 0 13 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 34 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 19 2 0 05 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 36 10 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 26 6 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 19 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 24 6 0 01 Jul 2023
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks J. Park Jeonghee Jo Sungroh Yoon 32 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 14 28 0 27 Jun 2023
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective Wei Huang Yuanbin Cao Hong Wang Xin Cao Taiji Suzuki MLT 37 6 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 21 5 0 23 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 21 5 0 22 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Fuchun Sun Junzhou Huang 19 5 0 21 Jun 2023
Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations G. Dezoort Boris Hanin AI4CE 23 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 42 5 0 18 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Z. Liu Hao Hao SSL 20 1 0 14 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Discrete Graph Auto-Encoder Yoann Boget Magda Gregorova Alexandros Kalousis 15 4 0 13 Jun 2023
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks Wei Liu Xiyan Fu Michael Strube GNN 21 3 0 10 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said Roza G. Bayrak Tyler Derr Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 20 25 0 09 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 33 51 0 07 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 13 30 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 81 3 0 04 Jun 2023
Oversmoothing: A Nightmare for Graph Contrastive Learning? Jintang Li Wangbin Sun Ruofan Wu Yuchang Zhu Liang Chen Zibin Zheng 28 2 0 03 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 30 32 0 02 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 37 14 0 31 May 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation Jin-Duk Park Siqing Li Xin Cao Won-Yong Shin 17 7 0 30 May 2023
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator Guangzhi Sun C. Zhang P. Woodland 16 4 0 30 May 2023
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Zibo Liu Parshin Shojaee Chandan K. Reddy AI4TS AI4CE 26 9 0 30 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 40 28 0 29 May 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 20 41 0 29 May 2023
Graph Inductive Biases in Transformers without Message Passing Liheng Ma Chen Lin Derek Lim Adriana Romero Soriano P. Dokania Mark J. Coates Philip H. S. Torr Ser-Nam Lim AI4CE 24 85 0 27 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 42 7 0 26 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 13 34 0 25 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 34 1 0 25 May 2023
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning Yizhan Xu Chih-Yao Chen Cheng Li SSL 23 1 0 24 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 54 3 0 23 May 2023