Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 46 2 0 08 Jun 2024
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks Zhiyang Wang J. Cerviño Alejandro Ribeiro AI4CE GNN 42 8 0 07 Jun 2024
LinkGPT: Teaching Large Language Models To Predict Missing Links Zhongmou He Jing Zhu Shengyi Qian Joyce Chai Danai Koutra LRM 44 1 0 07 Jun 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Jeongwhan Choi Sumin Park Hyowon Wi Sung-Bae Cho Noseong Park GNN 51 2 0 06 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 41 6 0 05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 36 6 0 05 Jun 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 45 1 0 04 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 50 3 0 04 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 44 5 0 03 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 45 0 0 03 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 47 0 0 03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 38 0 0 02 Jun 2024
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics Truong-Son Hy Thieu Khang Risi Kondor 40 0 0 01 Jun 2024
Posterior Label Smoothing for Node Classification Jaeseung Heo M. Park Dongwoo Kim UQCV 40 0 0 01 Jun 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang Sunwoo Kim Kijung Shin Zenglin Xu Shirui Pan Yuan Qi 41 3 0 31 May 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 58 0 0 31 May 2024
Node Injection Attack Based on Label Propagation Against Graph Neural Network Peican Zhu Zechen Pan Keke Tang Xiaodong Cui Jinhuan Wang Qi Xuan AAML 34 3 0 29 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 57 4 0 29 May 2024
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction Fatemeh Nassajian Mojarrad Lorenzo Bini Thomas Matthes Stéphane Marchand-Maillet AI4CE 41 0 0 28 May 2024
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 44 1 0 28 May 2024
Cross-Context Backdoor Attacks against Graph Prompt Learning Xiaoting Lyu Yufei Han Wei Wang Hangwei Qian Ivor Tsang Xiangliang Zhang SILM AAML 50 15 0 28 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 34 0 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 31 3 0 27 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 43 2 0 27 May 2024
Differentiable Cluster Graph Neural Network Yanfei Dong Mohammed Haroon Dupty Lambert Deng Zhuanghua Liu Yong Liang Goh Wee Sun Lee GNN 39 1 0 25 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 36 2 0 21 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective Zhiwei Zhang Min Lin Enyan Dai Suhang Wang AAML 21 10 0 17 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 36 14 0 13 May 2024
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings David Liu Arjun Seshadri Tina Eliassi-Rad J. Ugander 29 1 0 30 Apr 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 37 4 0 30 Apr 2024
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval Zihao Li Yuyi Ao Jingrui He 24 7 0 29 Apr 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 42 6 0 27 Apr 2024
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation Yujing Liu Zongqian Wu Zhengyu Lu Ci Nie Guoqiu Wen Ping Hu Xiaofeng Zhu 44 1 0 27 Apr 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure Tobias Ladner Michael Eichelbeck Matthias Althoff GNN 65 0 0 23 Apr 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning Yinlin Zhu Xunkai Li Zhengyu Wu Di Wu Miao Hu Ronghua Li FedML 29 6 0 22 Apr 2024
You do not have to train Graph Neural Networks at all on text-attributed graphs Kaiwen Dong Zhichun Guo Nitesh Chawla 37 1 0 17 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks Kailong Wu Yule Xie Jiaxin Ding Yuxiang Ren Luoyi Fu Xinbing Wang Cheng Zhou 39 0 0 11 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 44 3 0 06 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models Yifan Qu Oliver A. Krzysik H. Sterck Omer Ege Kara AI4CE 30 0 0 03 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide Sunwoo Kim Soo Yong Lee Yue Gao Alessia Antelmi Mirko Polato Kijung Shin GNN AI4TS 31 20 0 01 Apr 2024
Beyond the Known: Novel Class Discovery for Open-world Graph Learning Yucheng Jin Yun Xiong Juncheng Fang Xixi Wu Dongxiao He Xing Jia Bingchen Zhao Philip Yu OffRL 42 1 0 29 Mar 2024
Diffusion-based Negative Sampling on Graphs for Link Prediction Trung-Kien Nguyen Yuan Fang DiffM 25 11 0 25 Mar 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization Zonghan Zhang Zijian Zhang Zhiqian Chen 21 1 0 25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 34 0 0 22 Mar 2024
Directed Criteria Citation Recommendation and Ranking Through Link Prediction William Watson Lawrence Yong 16 1 0 18 Mar 2024
Edge Private Graph Neural Networks with Singular Value Perturbation Tingting Tang Yue Niu A. Avestimehr Murali Annavaram AAML 29 1 0 16 Mar 2024
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection Rui Zhang Dawei Cheng Xin Liu Jie Yang Ouyang Yi Xian Wu Yefeng Zheng 49 3 0 15 Mar 2024
Online GNN Evaluation Under Test-time Graph Distribution Shifts Xin-Yang Zheng Dongjin Song Qingsong Wen Bo Du Shirui Pan 39 6 0 15 Mar 2024
Robust Subgraph Learning by Monitoring Early Training Representations Sepideh Neshatfar Salimeh Yasaei Sekeh AAML 25 0 0 14 Mar 2024