Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

50 / 7,492 papers shown

Title
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 70 15 0 01 Apr 2025
Efficient n-body simulations using physics informed graph neural networks Víctor Ramos-Osuna Alberto Díaz-Álvarez Raúl Lara-Cabrera AI4CE 40 0 0 01 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 53 0 0 01 Apr 2025
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks Yuang Jia Xiaojuan Shan Jun Xia Guancheng Wan Y. Zhang Wenke Huang Mang Ye Stan Z. Li 60 0 0 01 Apr 2025
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training Rajeev Kumar Harishankar Kumar Kumari Shalini 59 0 0 01 Apr 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks Arthur M. Faria Ignacio F. Graña Savvas Varsamopoulos GNN 72 0 0 31 Mar 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 53 0 0 31 Mar 2025
StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence Diffusion Jin Zhou Yi Zhou Pengfei Xu Hui Huang DiffM 70 0 0 31 Mar 2025
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 69 0 0 31 Mar 2025
Short-video Propagation Influence Rating: A New Real-world Dataset and A New Large Graph Model Dizhan Xue Jing Cui Shengsheng Qian Chuanrui Hu Changsheng Xu 39 0 0 31 Mar 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning M. R. Verdelho Alexandre Bernardino Catarina Barata 55 0 0 29 Mar 2025
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks Y. Lai Yulin Zhu Yizhou Sun Yongpeng Wu Bin Xiao Gaolei Li Jianhua Li Kai Zhou AAML 51 0 0 29 Mar 2025
Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach F. Alharbi Nishant Budhiraja Aleksandar Vakanski Boyu Zhang Murtada K. Elbashir Hrshith Gudur Mohanad Mohammed 49 0 0 29 Mar 2025
Comparing Methods for Bias Mitigation in Graph Neural Networks Barbara Hoffmann R. Mayer 45 0 0 28 Mar 2025
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation Munib Mesinovic Soheila Molaei Peter Watkinson Tingting Zhu AI4TS 38 0 0 28 Mar 2025
CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills Fabian Schmidt Karin Hammerfald Henrik Haaland Jahren Vladimir Vlassov 36 0 0 28 Mar 2025
Mesh Compression with Quantized Neural Displacement Fields Sai Karthikey Pentapati Gregoire Phillips Alan Bovik AI4CE 50 0 0 28 Mar 2025
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition Kunshan Yang Wenwei Luo Yuguo Hu Jiafu Yan Mengmeng Jing Lin Zuo 36 0 0 28 Mar 2025
Fusion of Graph Neural Networks via Optimal Transport Weronika Ormaniec Michael Vollenweider Elisa Hoskovec MoMe FedML OT 80 0 0 27 Mar 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment Bokai Cao Saizhuo Wang Xinyi Lin Xiaojun Wu Haohan Zhang L. Ni Jian Guo AIFin 59 1 0 27 Mar 2025
Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection Junhao Wu Yixin Yang Chengxiang Jin Silu Mu Xiaolei Qian Jiajun Zhou Shanqing Yu Qi Xuan 41 1 0 27 Mar 2025
Rethinking Graph Structure Learning in the Era of LLMs Zhihan Zhang Xunkai Li Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang 54 0 0 27 Mar 2025
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification Minjun Kim Jaehyeon Choi SeungJoo Lee Jinhong Jung U. Kang OOD GNN 65 1 0 27 Mar 2025
Graph-Enhanced Model-Free Reinforcement Learning Agents for Efficient Power Grid Topological Control Eloy Anguiano Batanero Ángela Fernández Álvaro Barbero 72 0 0 26 Mar 2025
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling Tom Liu Anna Wu Chao Li 51 0 0 26 Mar 2025
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs R. T. Sousa Heiko Paulheim 70 0 0 26 Mar 2025
$β$ -GNN: A Robust Ensemble Approach Against Graph Structure Perturbation Haci Ismail Aslan Philipp Wiesner Ping Xiong O. Kao AAML 79 0 0 26 Mar 2025
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids Dhruv Suri Mohak Mangal AI4TS 42 0 0 26 Mar 2025
Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization Emily Wang Michael Chen Chao Li 34 0 0 26 Mar 2025
Cross-Modal State-Space Graph Reasoning for Structured Summarization Hannah Kim Sofia Martinez Jason Lee 56 0 0 26 Mar 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology Amaya Gallagher-Syed Henry Senior Omnia Alwazzan Elena Pontarini Michele Bombardieri C. Pitzalis M. Lewis Michael Barnes Luca Rossi Gregory G. Slabaugh 48 0 0 26 Mar 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber Eran Treister GNN AI4CE 72 1 0 25 Mar 2025
Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks Ajitesh Srivastava Aryan Shetty Eric Rice 50 0 0 25 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 69 1 0 25 Mar 2025
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment Tao Meng Shuo Shan Hongen Shao Yuntao Shou Wei Ai Keqin Li 47 0 0 24 Mar 2025
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models Zichen Miao Wei Chen Qiang Qiu 92 1 0 24 Mar 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 72 0 0 24 Mar 2025
MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering Shuo Yang Siwen Luo S. Han Eduard Hovy LRM 44 0 0 24 Mar 2025
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks Jiazhu Dai Yubing Lu 61 0 0 24 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 78 0 0 23 Mar 2025
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model Yali Fu Jindong Li Qi Wang Qianli Xing Mamba 62 0 0 23 Mar 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling Yongqi Huang Jitao Zhao Dongxiao He Di Jin Yuxiao Huang Zhen Wang 39 0 0 23 Mar 2025
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM Xin Xue Haoyi Zhou Tianyu Chen Shuai Zhang Yizhou Long Jianxin Li AI4TS 53 0 0 23 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning Yilong Wang Jingyang Zhang Tianxiang Zhao Suhang Wang AAML 49 0 0 23 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks Maryam Abdolali Romina Zakerian Behnam Roshanfekr Fardin Ayar Mohammad Rahmati 53 0 0 22 Mar 2025
Enhancing Steering Estimation with Semantic-Aware GNNs Fouad Makiyeh Huy-Dung Nguyen Patrick Chareyre Ramin Hasani Marc Blanchon Daniela Rus 3DPC 71 0 0 21 Mar 2025
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 46 0 0 21 Mar 2025
From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles Paolo Frazzetto Muhammad Uzair Ul Haq Flavia Fabris Alessandro Sperduti 56 0 0 21 Mar 2025
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability Sanjif Shanmugavelu Mathieu Taillefumier Christopher Culver Vijay Ganesh Oscar Hernandez Ada Sedova AAML 43 0 0 21 Mar 2025