Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Unsupervised Graph Clustering with Deep Structural Entropy Jingyun Zhang Hao Peng Li Sun Guanlin Wu Chunyang Liu Zhengtao Yu 7 0 0 20 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 7 0 0 20 May 2025
Adaptive Graph Unlearning Pengfei Ding Yan Wang Guanfeng Liu Jiajie Zhu MU 26 0 0 19 May 2025
GraphFLEx: Structure Learning Framework for Large Expanding Graphs Mohit Kataria Nikita Malik Sandeep Kumar Jayadeva GNN 33 0 0 18 May 2025
Relation-Aware Graph Foundation Model Jianxiang Yu Jiapeng Zhu Hao Qian Ziqi Liu Zhiqiang Zhang Xiang Li 7 0 0 17 May 2025
Finding Counterfactual Evidences for Node Classification Dazhuo Qiu Jinwen Chen Arijit Khan Yan Zhao Francesco Bonchi CML 25 0 0 16 May 2025
Negative Metric Learning for Graphs Yiyang Zhao Chengpei Wu Lilin Zhang Ning Yang 24 0 0 15 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 35 0 0 14 May 2025
Fused3S: Fast Sparse Attention on Tensor Cores Zitong Li Aparna Chandramowlishwaran GNN 47 0 0 12 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 38 0 0 04 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 35 0 0 02 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 193 1 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 233 0 0 25 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 34 0 0 23 Apr 2025
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network Wenjing Xiao Chenglong Shi Miaojiang Chen Zhiquan Liu Min Chen Haiwen Song 39 0 0 22 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Bo Li Rong-Hua Li Guoren Wang FedML 45 0 0 19 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Azadeh Beiranvand Seyed Mehdi Vahidipour 34 0 0 16 Apr 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber Eran Treister GNN AI4CE 67 1 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
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
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Y. Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 44 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
Learning to quantify graph nodes Alessio Micheli Alejandro Moreo Marco Podda Fabrizio Sebastiani William Simoni Domenico Tortorella 58 0 0 19 Mar 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning Hang Ni Jindong Han Nengjun Zhu Hao Liu 57 0 0 15 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 78 5 0 13 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 63 0 0 13 Mar 2025
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks? Mir Imtiaz Mostafiz Imtiaz Karim Elisa Bertino AAML 66 0 0 12 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
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 45 0 0 12 Mar 2025
Leap: Inductive Link Prediction via Learnable TopologyAugmentation Ahmed E. Samy Zekarias T. Kefato Sarunas Girdzijauskas 59 0 0 05 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 87 0 0 05 Mar 2025
A Binary Classification Social Network Dataset for Graph Machine Learning Adnan Ali Jinglong Li Huanhuan Chen AlMotasem Bellah Al Ajlouni GNN 65 0 0 04 Mar 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings Nikolaos Nakis Niels Raunkjær Holm Andreas Lyhne Fiehn Morten Mørup 78 0 0 03 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 52 1 0 02 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition Yicong Dong Rundong He Guangyao Chen Wentao Zhang Zhongyi Han Jieming Shi Yilong Yin 48 0 0 01 Mar 2025
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks Jana Vatter Mykhaylo Zayats Marcos Martínez Galindo V. López R. Mayer Hans-Arno Jacobsen Hoang Thanh Lam GNN 50 0 0 27 Feb 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 87 0 0 27 Feb 2025
Joint Optimal Transport and Embedding for Network Alignment Qi Yu Zhichen Zeng Yuchen Yan Lei Ying R. Srikant Hanghang Tong OT 310 1 0 26 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 48 2 0 25 Feb 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 43 0 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 38 0 0 24 Feb 2025
Graph Masked Language Models Aarush Sinha OM Kumar CU AI4CE 49 0 0 24 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment Ruyi Ding Tianhong Xu A. A. Ding Yunsi Fei FedML 46 0 0 20 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 48 0 0 18 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 42 4 0 15 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 72 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 110 0 0 10 Feb 2025
Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond Dai Shi Kuan Yan Lequan Lin Yue Zeng Ting Zhang D. Matsypura Mark C. Gillies Ling Zhu Junbin Gao 57 1 0 10 Feb 2025