SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

9 February 2021

Papers citing "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

30 / 30 papers shown

Title
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi Jun-Xiong Xia Jingbo Zhou Jiabei Cheng Chang Yu Stan Z. Li 34 0 0 06 May 2025
Rethinking Graph Structure Learning in the Era of LLMs Zhihan Zhang Xunkai Li Guang Zeng Hongchao Qin R. Li Guoren Wang 44 0 0 27 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 46 1 0 02 Mar 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 61 1 0 24 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang 43 2 0 20 Feb 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees Ally Yalei Du Eric Huang Dravyansh Sharma 51 0 0 18 Feb 2025
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving Ehsan Ahmadi Ray Coden Mercurius Soheil Alizadeh K. Rezaee Amir Rasouli AAML 36 0 0 23 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 21 0 0 09 Sep 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon C. Alippi BDL 30 1 0 30 May 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 34 36 0 07 Mar 2024
GraphEdit: Large Language Models for Graph Structure Learning Zirui Guo Lianghao Xia Yanhua Yu Yuling Wang Zixuan Yang Zhiyong Huang Chao Huang 44 18 0 23 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning Seungyoon Choi Wonjoong Kim Sungwon Kim Yeonjun In Sein Kim Chanyoung Park CLL 22 4 0 21 Feb 2024
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 29 1 0 05 Dec 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 33 33 0 08 Oct 2023
Graph Structural Residuals: A Learning Approach to Diagnosis Jan Lukas Augustin Oliver Niggemann 19 2 0 14 Aug 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 37 6 0 26 May 2023
Learning to Substitute Ingredients in Recipes Bahare Fatemi Quentin Duval Rohit Girdhar M. Drozdzal Adriana Romero Soriano 20 7 0 15 Feb 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 20 179 0 19 Jan 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 17 11 0 30 Dec 2022
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 31 2 0 01 Dec 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen D. Z. Chen Jian Wu NoLa 25 34 0 12 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 20 0 12 Nov 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 36 63 0 30 Jun 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 28 23 0 19 Mar 2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting Jiabin Tang Tang Qian Shikun Liu Shengdong Du Jie Hu Tianrui Li AI4TS 22 21 0 25 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 25 79 0 17 Feb 2022
Balanced Graph Structure Learning for Multivariate Time Series Forecasting Weijun Chen Yanze Wang Chengshuo Du Zhenglong Jia Feng Liu Ran Chen AI4TS 21 1 0 24 Jan 2022
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 63 46 0 23 Jul 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 170 170 0 09 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 189 744 0 03 Sep 2019