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
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction Yanbin Wei Xuehao Wang Zhan Zhuang Yang Chen Shuhao Chen Yulong Zhang Yu-Jie Zhang James T. Kwok 31 0 0 13 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 48 0 0 07 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 33 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 36 0 0 30 Apr 2025
LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning Neha Prakriya Zijian Ding Yizhou Sun Jason Cong 21 0 0 29 Apr 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 85 1 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 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 64 0 0 24 Apr 2025
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition Heesoo Jung Hogun Park 35 2 0 16 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 28 0 0 07 Apr 2025
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling Tom Liu Anna Wu Chao Li 32 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 48 0 0 22 Mar 2025
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection Matt W Franchi N. Garg Wendy Ju Emma Pierson 55 1 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 72 0 0 12 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 52 1 0 03 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 43 0 0 03 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing Lukas Fesser Melanie Weber 36 0 0 01 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 39 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 38 0 0 27 Feb 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 61 0 0 26 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 79 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 42 1 0 20 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 111 0 0 13 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 67 0 0 13 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao D. Wang Hongrui Liu Zhiqiang Zhang Jun Zhou Jeffrey Xu Yu SSL 100 0 0 10 Feb 2025
What makes a good feedforward computational graph? Alex Vitvitskyi J. G. Araújo Marc Lackenby Petar Velickovic 80 1 0 10 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally X. Wang Muhan Zhang 102 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 47 0 0 02 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 45 0 0 28 Jan 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Y. Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 68 0 0 26 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 95 0 0 22 Jan 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 57 1 0 17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 81 11 0 10 Jan 2025
Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Mengshi Qi Zhe Zhao Huadong Ma 40 1 0 08 Jan 2025
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules Hongwei Du Jiamin Wang Jian Hui Lanting Zhang Hong Wang AI4CE GNN 26 2 0 08 Jan 2025
Optimizing Supply Chain Networks with the Power of Graph Neural Networks Chi-Sheng Chen Ying-Jung Chen AI4TS 42 3 0 07 Jan 2025
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Gyeongmin Gu Minseo Jeon Hyun-Je Song Jinhong Jung 29 0 0 25 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li Hongyuan Zhang Yuan Yuan 70 0 0 15 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 82 1 0 10 Dec 2024
Residual Hyperbolic Graph Convolution Networks Yangkai Xue Jindou Dai Zhipeng Lu Yuwei Wu Yunde Jia 77 3 0 05 Dec 2024
From ChebNet to ChebGibbsNet Jie M. Zhang Min-Te Sun GNN 69 1 0 02 Dec 2024
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks Tae-Hoon Lee Min-Soo Kim 76 0 0 29 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 85 2 0 26 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 81 2 0 23 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 77 0 0 21 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 67 0 0 20 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 76 0 0 19 Nov 2024