Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

50 / 1,040 papers shown

Title
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models M. Lashkari Amin Gheibi 42 0 0 13 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 46 8 0 12 Mar 2024
Generalization of Graph Neural Networks through the Lens of Homomorphism Shouheng Li Dongwoo Kim Qing Wang 42 1 0 10 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 32 0 0 07 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 40 5 0 06 Mar 2024
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 44 2 0 06 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia Xiao Wang Nian Liu Chuan Shi 45 10 0 06 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 60 2 0 04 Mar 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks Tianyu Fan Lirong Wu Yufei Huang Haitao Lin Cheng Tan Zhangyang Gao Stan Z. Li 45 3 0 03 Mar 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 68 1 0 28 Feb 2024
Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph Fatemeh Nassajian Mojarrad Lorenzo Bini Thomas Matthes Stéphane Marchand-Maillet 27 1 0 28 Feb 2024
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking Lorenzo Bini Fatemeh Nassajian Mojarrad Margarita Liarou Thomas Matthes Stéphane Marchand-Maillet 31 3 0 28 Feb 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks Qian Ma Hongliang Chi Hengrui Zhang Kay Liu Zhiwei Zhang Lu Cheng Suhang Wang Philip S. Yu Yao Ma 49 3 0 24 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 49 0 0 23 Feb 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir Yassine Abbahaddou J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML 40 12 0 21 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Yuhan Li Peisong Wang Zhixun Li Jeffrey Xu Yu Jia Li 34 40 0 17 Feb 2024
Class-Balanced and Reinforced Active Learning on Graphs Chengcheng Yu Jiapeng Zhu Xiang Li 32 1 0 15 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh Chawla AI4CE 23 3 0 15 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 34 5 0 14 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 23 57 0 13 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs Kaiwen Dong Haitao Mao Zhichun Guo Nitesh Chawla 38 5 0 12 Feb 2024
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention Fangyu Ding Haiyang Wang Zhixuan Chu Tianming Li Zhaoping Hu Junchi Yan AI4CE 19 1 0 11 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 36 12 0 09 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 28 3 0 08 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 59 7 0 08 Feb 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee Sunwoo Kim Fanchen Bu Jaemin Yoo Jiliang Tang Kijung Shin 58 6 0 07 Feb 2024
On provable privacy vulnerabilities of graph representations Ruofan Wu Guanhua Fang Qiying Pan Mingyang Zhang Tengfei Liu Weiqiang Wang AAML 40 0 0 06 Feb 2024
Sign Rank Limitations for Inner Product Graph Decoders Su Hyeong Lee Qingqi Zhang Risi Kondor 36 0 0 06 Feb 2024
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning Yanbin Wei Shuai Fu Weisen Jiang Zejian Zhang Zhixiong Zeng Qi Wu James T. Kwok Yu Zhang 35 12 0 03 Feb 2024
Spectrally Transformed Kernel Regression Runtian Zhai Rattana Pukdee Roger Jin Maria-Florina Balcan Pradeep Ravikumar BDL 28 2 0 01 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs S. Chatterjee Suman Kundu 16 0 0 30 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 31 3 0 28 Jan 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 42 16 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 34 17 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 48 8 0 22 Jan 2024
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 34 12 0 17 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values Selahattin Akkas Ariful Azad FAtt 40 3 0 09 Jan 2024
Predicting the structure of dynamic graphs Sevvandi Kandanaarachchi AI4TS AI4CE 27 0 0 08 Jan 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng Philip Yu 49 16 0 02 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 27 2 0 01 Jan 2024
A clean-label graph backdoor attack method in node classification task Xiaogang Xing Ming Xu Yujing Bai Dongdong Yang AAML 101 7 0 30 Dec 2023
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 36 0 0 27 Dec 2023
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Chenyang Qiu Gu Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao 30 5 0 27 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation Yilun Liu Ruihong Qiu Yanran Tang Hongzhi Yin Zi Huang 26 5 0 22 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 34 32 0 22 Dec 2023
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 56 12 0 21 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 34 13 0 20 Dec 2023
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning Xiaolong Fan Maoguo Gong Yue Wu Zedong Tang Jie Liu 33 0 0 15 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 46 9 0 13 Dec 2023