Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network F. Liu Siqi Lai Yansong Ning Hao Liu AAML FedML 44 3 0 17 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 42 21 0 17 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 39 23 0 16 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs N. Lell A. Scherp 46 1 0 15 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 29 5 0 14 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 44 33 0 13 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 29 36 0 09 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 29 7 0 06 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 27 30 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 91 3 0 04 Jun 2023
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs Sara Venturini Andrea Cristofari Francesco Rinaldi Francesco Tudisco 25 5 0 31 May 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Xiaoxin He Xavier Bresson T. Laurent Adam Perold Yann LeCun Bryan Hooi 38 73 0 31 May 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li Miao Xiong Bryan Hooi 21 7 0 30 May 2023
On the Correspondence Between Monotonic Max-Sum GNNs and Datalog David Tena Cucala Bernardo Cuenca Grau B. Motik Egor V. Kostylev 43 8 0 29 May 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification Gokul Bhusal Ekaterina Merkurjev Guo-Wei Wei 28 1 0 25 May 2023
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module Claudio Battiloro Indro Spinelli Lev Telyatnikov Michael M. Bronstein Simone Scardapane P. Lorenzo BDL 31 14 0 25 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 35 38 0 25 May 2023
Message Intercommunication for Inductive Relation Reasoning K. Liang Lingyuan Meng Sihang Zhou Siwei Wang Wenxuan Tu Yue Liu Meng Liu Xinwang Liu LRM 40 13 0 23 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 59 3 0 23 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 34 30 0 14 May 2023
Feature Expansion for Graph Neural Networks Jiaqi Sun Lin Zhang Guan-Hong Chen Kun Zhang Peng Xu Yujiu Yang GNN 22 13 0 10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 63 66 0 10 May 2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning Xiaochuan Zhang Mengran Li Ye Wang Haojun Fei 33 2 0 05 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 48 14 0 04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 44 6 0 04 May 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 24 1 0 01 May 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 37 106 0 10 Apr 2023
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh Chawla 30 19 0 09 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 19 26 0 06 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 44 44 0 04 Apr 2023
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents Pirmin Lemberger Antoine Saillenfest GNN 38 0 0 03 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 34 2 0 31 Mar 2023
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need Vivien A. Cabannes Léon Bottou Yann LeCun Randall Balestriero 52 13 0 27 Mar 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 29 3 0 27 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 27 21 0 26 Mar 2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation Bingyi Zhang Viktor Prasanna GNN 19 5 0 22 Mar 2023
Edge Deep Learning Model Protection via Neuron Authorization Jinyin Chen Haibin Zheng Tianming Liu Rongchang Li Yao Cheng Xuhong Zhang S. Ji FedML 29 0 0 22 Mar 2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification Liang Yan Shengzhong Zhang Bisheng Li Min Zhou Zengfeng Huang 40 4 0 18 Mar 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Jia Wu Chun-Yi Liu Philip S. Yu 27 45 0 17 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 30 0 0 17 Mar 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data Xinwei Zhang Min-Fong Hong Jie Chen FedML 29 3 0 16 Mar 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 62 4 0 14 Mar 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network Yumeng Song Yu Gu Tianyi Li Jianzhong Qi Zhenghao Liu Christian S. Jensen Ge Yu SSL 42 15 0 10 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework Zhenshuo Zhang Yun Zhu Haizhou Shi Siliang Tang 29 1 0 09 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 37 0 0 02 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 40 5 0 28 Feb 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 38 8 0 27 Feb 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 34 0 0 25 Feb 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases Y. Guo Zhewei Wei 37 30 0 24 Feb 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 41 193 0 22 Feb 2023