Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

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

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Title
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 36 0 0 02 Oct 2024
Reevaluation of Inductive Link Prediction Simon Ott Christian Meilicke Heiner Stuckenschmidt 40 0 0 30 Sep 2024
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs Pranav Maneriker Aditya T. Vadlamani Anutam Srinivasan Yuntian He Ali Payani Srinivasan Parthasarathy 31 0 0 26 Sep 2024
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu MU 29 1 0 25 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 31 1 0 22 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 37 4 0 17 Sep 2024
High-Order Evolving Graphs for Enhanced Representation of Traffic Dynamics Aditya Humnabadkar Arindam Sikdar Benjamin Cave Huaizhong Zhang P. Bakaki Ardhendu Behera 38 0 0 17 Sep 2024
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 38 1 0 13 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 35 0 0 13 Sep 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 32 0 0 12 Sep 2024
Re-evaluating the Advancements of Heterophilic Graph Learning Sitao Luan Qincheng Lu Chenqing Hua Xinyu Wang Jiaqi Zhu Xiao-Wen Chang 70 2 0 09 Sep 2024
Generalization of Geometric Graph Neural Networks Zhiyang Wang J. Cerviño Alejandro Ribeiro 38 2 0 08 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 47 0 0 07 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification Alan John Varghese Zhen Zhang George Karniadakis 38 2 0 29 Aug 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Bo Li Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 35 1 0 29 Aug 2024
Disentangled Generative Graph Representation Learning Xinyue Hu Zhibin Duan Xinyang Liu Yuxin Li Bo Chen Mingyuan Zhou 48 0 0 24 Aug 2024
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation Ali Falahati Mohammad Mohammadi Amiri 29 1 0 22 Aug 2024
Community-Centric Graph Unlearning Yi Li Shichao Zhang Guixian Zhang Debo Cheng MU 29 0 0 19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 66 2 0 17 Aug 2024
Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning Tangjun Wang Chenglong Bao Zuoqiang Shi 18 0 0 10 Aug 2024
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning Wenbin Hu Huihao Jing Qi Hu Haoran Li Yangqiu Song SSL AI4CE 42 0 0 09 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 35 5 0 07 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 45 2 0 03 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck Yuntao Shou Haozhi Lan Xiangyong Cao 43 11 0 01 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 37 3 0 31 Jul 2024
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks Jihee You Sowon Jeong Claire Donnat 19 1 0 30 Jul 2024
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies M. Xu Huifeng Yin Yujie Wu Guoqi Li Faqiang Liu Jing Pei Shuai Zhong Lei Deng 42 0 0 30 Jul 2024
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement Yakun Wang Daixin Wang Hongrui Liu Bin Hu Yingcui Yan Qiyang Zhang Qing Cui 35 6 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio 53 0 0 29 Jul 2024
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 46 2 0 28 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Dongzhuoran Zhou Hui Yang Bo Xiong Yue Ma Evgeny Kharlamov 46 0 0 27 Jul 2024
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning Wenjie Yang Shengzhong Zhang Jiaxing Guo Zengfeng Huang 24 1 0 25 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 63 0 0 18 Jul 2024
GeoMix: Towards Geometry-Aware Data Augmentation Wen-Long Zhao Qitian Wu Chenxiao Yang Junchi Yan 40 2 0 15 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 36 1 0 10 Jul 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 57 13 0 10 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 42 1 0 05 Jul 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 49 5 0 27 Jun 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 41 0 0 24 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 45 2 0 20 Jun 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture Zhengxin Yang Wanling Gao Luzhou Peng Yunyou Huang Fei Tang Jianfeng Zhan 33 0 0 20 Jun 2024
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 36 0 0 17 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 41 3 0 16 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 47 10 0 15 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 34 0 0 14 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 58 1 0 13 Jun 2024
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method Qinghua Tao F. Tonin Alex Lambert Yingyi Chen Panagiotis Patrinos Johan A. K. Suykens 46 1 0 13 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 54 5 0 12 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks Peizhi Niu Chao Pan Siheng Chen Olgica Milenkovic AAML 35 0 0 12 Jun 2024
Transfer Entropy in Graph Convolutional Neural Networks Adrian Moldovan A. Cataron Razvan Andonie GNN 36 1 0 08 Jun 2024