Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

Papers citing "Revisiting Semi-Supervised Learning with Graph Embeddings"

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Title
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective Chang Liu Hai Huang Yujie Xing Xingquan Zuo AAML 49 0 0 04 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xuben Wang Muhan Zhang 107 0 0 04 Feb 2025
Spectro-Riemannian Graph Neural Networks Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 73 1 0 01 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 46 2 0 28 Jan 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 38 0 0 23 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 39 1 0 21 Jan 2025
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things Mengran Li Junzhou Chen Chenyun Yu Guanying Jiang Ronghui Zhang Yanming Shen Houbing Song 42 0 0 20 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 189 0 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 56 0 0 08 Jan 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 35 1 0 08 Jan 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training Ting Wang Zhixin Zhou Rui Luo 33 5 0 06 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Xunkai Li Zhilin Guo Rong-Hua Li Guoren Wang MU 50 1 0 06 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 72 2 0 03 Jan 2025
Mixture of Link Predictors on Graphs Li Ma Haoyu Han Juanhui Li Harry Shomer Hui Liu Xiaofeng Gao Jiliang Tang 75 6 0 03 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 68 0 0 27 Dec 2024
Context-Aware Deep Learning for Multi Modal Depression Detection Genevieve Lam Huang Dongyan Weisi Lin 45 80 0 26 Dec 2024
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 69 0 0 26 Dec 2024
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 43 0 0 23 Dec 2024
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks Hai-Xiao Wang Zhichao Wang 78 1 0 18 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 83 0 0 18 Dec 2024
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification Huachao Yan K. Guo Shiwei Song Yihai Dai Xiaoqiang Wei Xiaofen Xing Xiangmin Xu 76 0 0 17 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li Hongyuan Zhang Yuan Yuan 70 0 0 15 Dec 2024
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains Yunhui Liu Qizhuo Xie Jinwei Shi Jiaxu Shen Tieke He 74 0 0 12 Dec 2024
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 80 5 0 05 Dec 2024
Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images Jiaxi Yu Tomohiro Fukuda Nobuyoshi Yabuki 61 0 0 04 Dec 2024
Identifying Key Nodes for the Influence Spread using a Machine Learning Approach Mateusz Stolarski Adam Piróg Piotr Bródka 64 4 0 02 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Jiliang Tang AI4CE 79 1 0 30 Nov 2024
Instance-Aware Graph Prompt Learning Jiazheng Li Jundong Li Chuxu Zhang VLM 84 2 0 26 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 81 0 0 19 Nov 2024
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization Jacob Nielsen Lukas Galke Peter Schneider-Kamp MQ 42 1 0 08 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 45 1 0 06 Nov 2024
PageRank Bandits for Link Prediction Yikun Ban Jiaru Zou Zihao Li Yunzhe Qi Dongqi Fu Jian Kang Hanghang Tong Jingrui He 51 3 0 03 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence Ying-Chun Lin Jennifer Neville Cassiano Becker Purvanshi Metha Nabiha Asghar Vipul Agarwal 28 0 0 01 Nov 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo Yuhan Chen Siya Qiu Yiwei Wang Chen Zhang Yan Zhou Xiaochun Cao Jing Tang AAML 38 2 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 30 0 0 21 Oct 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space Zhenyu Lin Hongzheng Li Yingxia Shao Guanhua Ye Yawen Li Quanqing Xu 44 0 0 20 Oct 2024
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models Bo Pan Zhen Xiong Guanchen Wu Zheng Zhang Yifei Zhang Liang Zhao FAtt 39 1 0 20 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 38 0 0 18 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül Rajgopal Kannan Viktor Prasanna FedML 29 0 0 17 Oct 2024
Enhance Graph Alignment for Large Language Models Haitong Luo Xuying Meng Suhang Wang Tianxiang Zhao Fali Wang Hanyun Cao Yujun Zhang 232 1 0 15 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 63 8 0 14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks Chunyang Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 39 0 0 13 Oct 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 47 0 0 13 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang Kay Liu Sourav Medya Philip S. Yu SSL 36 1 0 12 Oct 2024
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 37 2 0 11 Oct 2024
TCGU: Data-centric Graph Unlearning based on Transferable Condensation Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin MU 33 2 0 09 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 56 2 0 09 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 35 0 0 08 Oct 2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss Ying-Chun Lin Jennifer Neville SSL 28 0 0 04 Oct 2024
Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Alexander Rieck 28 0 0 03 Oct 2024