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"

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Title
Mesh-Informed Neural Operator : A Transformer Generative Approach Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli AI4CE 44 0 0 20 Jun 2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Langzhang Liang Fanchen Bu Zixing Song Zenglin Xu Shirui Pan Kijung Shin 16 0 0 19 Jun 2025
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols Longzhu He Chaozhuo Li Peng Tang Litian Zhang Sen Su Philip S. Yu AAML 63 0 0 11 Jun 2025
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing Diaaeldin Taha James Chapman Marzieh Eidi Karel Devriendt Guido Montúfar 41 0 0 06 Jun 2025
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research M. Park Sunghyun Choi Jaeseung Heo Eunhyeok Park Dongwoo Kim AI4CE 116 1 0 05 Jun 2025
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks Jaeseung Heo Kyeongheung Yun Seokwon Yoon M. Park Jungseul Ok Dongwoo Kim TDI AAML 134 0 0 05 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 75 0 0 03 Jun 2025
Graph Neural Networks for Jamming Source Localization Dania Herzalla W. T. Lunardi Martin Andreoni 21 0 0 01 Jun 2025
Directed Homophily-Aware Graph Neural Network Aihu Zhang Jiaxing Xu Mengcheng Lan Shili Xiang Yiping Ke 56 0 0 28 May 2025
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Sungwon Kim Namkyeong Lee Yunyoung Doh Seungmin Shin Guimok Cho Seung-Won Jeon Sangkook Kim Chanyoung Park 37 0 0 27 May 2025
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks? Nicolas Keriven 55 0 0 22 May 2025
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval Nikolaos Chaidos Angeliki Dimitriou Maria Lymperaiou Giorgos Stamou 67 0 0 21 May 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning Adrian Arnaiz-Rodriguez Federico Errica AI4CE 101 1 0 21 May 2025
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives Zihu Wang Boxun Xu Hejia Geng Peng Li 71 0 0 21 May 2025
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models Zhibiao Wang Yunlong Zhou Ziwei Zhang Mengmei Zhang Shirui Pan Chunming Hu Xiao Wang 75 0 0 19 May 2025
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph Harel Mendelman Haggai Maron Ronen Talmon 99 0 0 18 May 2025
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling Lingzhi Wang Pengcheng Huang Haotian Li Yuliang Wei Guodong Xin Rui Zhang Donglin Zhang Zhenzhou Ji Wei Wang 151 0 0 18 May 2025
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction Yanbin Wei Xuehao Wang Zhan Zhuang Yang Chen Shuhao Chen Yulong Zhang Yu Zhang James T. Kwok 83 1 0 13 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 113 0 0 07 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 112 0 0 04 May 2025
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks William Sutcliffe Marta Calvi Simone Capelli Jonas Eschle J. G. Pardiñas Abhijit Mathad Azusa Uzuki N. Serra 72 0 0 30 Apr 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 121 2 0 29 Apr 2025
LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning Neha Prakriya Zijian Ding Yizhou Sun Jason Cong 89 1 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas Garg 128 0 0 28 Apr 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 160 0 0 24 Apr 2025
Plain Transformers Can be Powerful Graph Learners Liheng Ma Soumyasundar Pal Yingxue Zhang Philip Torr Mark Coates 87 0 0 17 Apr 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition Heesoo Jung Hogun Park 88 2 0 16 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 69 0 0 07 Apr 2025
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling Tom Liu Anna Wu Chao Li 62 0 0 26 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks Maryam Abdolali Romina Zakerian Behnam Roshanfekr Fardin Ayar Mohammad Rahmati 112 0 0 22 Mar 2025
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection Matt W Franchi N. Garg Wendy Ju Emma Pierson 90 2 0 18 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 133 1 0 12 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 116 0 0 03 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 134 1 0 03 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 117 0 0 01 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing Lukas Fesser Melanie Weber 75 0 0 01 Mar 2025
Dual-branch Graph Feature Learning for NLOS Imaging Xiongfei Su Tianyi Zhu Lina Liu Zheng Chen Yulun Zhang Siyuan Li Juntian Ye Feihu Xu Xin Yuan 75 1 0 27 Feb 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 140 0 0 26 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 220 3 0 24 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 118 1 0 20 Feb 2025
A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs Jiaqi Wang Xinyi Wu James Cheng Yifei Wang 36 0 0 17 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 165 3 0 13 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 234 0 0 13 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 193 0 0 10 Feb 2025
What makes a good feedforward computational graph? Alex Vitvitskyi J. G. Araújo Marc Lackenby Petar Velickovic 133 3 0 10 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xiang Wang Muhan Zhang 263 0 0 04 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 108 0 0 02 Feb 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Yansen Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 182 2 0 26 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 153 0 0 24 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 300 0 0 22 Jan 2025