Learning Discrete Structures for Graph Neural Networks

28 March 2019

Luca Franceschi

Papers citing "Learning Discrete Structures for Graph Neural Networks"

50 / 74 papers shown

Title
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi Jun Xia Jingbo Zhou Jiabei Cheng Chang Yu Stan Z. Li 39 0 0 06 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Scale-Free Graph-Language Models Jianglin Lu Yixuan Liu Yitian Zhang Y. Fu 73 1 0 24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 72 22 0 24 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng Cheng Chen C. Wang 49 2 0 20 Feb 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 171 0 0 03 Jan 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 41 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 31 0 0 09 Sep 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 58 3 0 19 Jun 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 38 1 0 30 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 22 0 15 May 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 29 0 0 14 Apr 2024
GraphEdit: Large Language Models for Graph Structure Learning Zirui Guo Lianghao Xia Yanhua Yu Yuling Wang Zixuan Yang Zhiyong Huang Chao Huang 55 18 0 23 Feb 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 60 7 0 27 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 34 6 0 18 Dec 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 24 0 0 21 Nov 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 17 38 0 13 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 59 55 0 10 Oct 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 48 34 0 08 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization M. D. Santis Jordan Frécon Francesco Rinaldi Saverio Salzo Martin Schmidt Martin Schmidt 53 0 0 21 Aug 2023
Graph Structural Residuals: A Learning Approach to Diagnosis Jan Lukas Augustin Oliver Niggemann 23 2 0 14 Aug 2023
Evolving Computation Graphs Andreea Deac Jian Tang 24 1 0 22 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 24 12 0 20 Jun 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 48 7 0 26 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 36 6 0 25 May 2023
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki 21 5 0 24 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 64 141 0 11 Apr 2023
Random projection tree similarity metric for SpectralNet Mashaan Alshammari J. Stavrakakis Adel F. Ahmed M. Takatsuka 31 0 0 25 Feb 2023
Random Projection Forest Initialization for Graph Convolutional Networks Mashaan Alshammari J. Stavrakakis Adel F. Ahmed M. Takatsuka GNN 29 2 0 22 Feb 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 28 0 0 19 Jan 2023
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 40 20 0 12 Nov 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks Yue Yu Xuan Kan Hejie Cui Ran Xu Yu Zheng ... Kun Zhang Razieh Nabi Ying Guo Chaogang Zhang Carl Yang 13 17 0 01 Nov 2022
Robust Graph Structure Learning via Multiple Statistical Tests Yaohua Wang Fangyi Zhang Ming Lin Senzhang Wang Xiuyu Sun Rong Jin 34 1 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 61 0 07 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 33 7 0 28 Sep 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang 30 27 0 17 Sep 2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting Zezhi Shao Zhao Zhang Fei Wang Yongjun Xu AI4TS 30 213 0 18 Jun 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 43 18 0 26 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Generating Topological Structure of Floorplans from Room Attributes Yu Yin Will Hutchcroft Naji Khosravan Ivaylo Boyadzhiev Y. Fu S. B. Kang 19 2 0 26 Apr 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 47 24 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 27 22 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 Jiang OOD 30 79 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 219 0 16 Feb 2022
Balanced Graph Structure Learning for Multivariate Time Series Forecasting Weijun Chen Yanze Wang Chengshuo Du Zhenglong Jia Feng Liu Ran Chen AI4TS 23 1 0 24 Jan 2022
Evidence-aware Fake News Detection with Graph Neural Networks Weizhi Xu Jun Wu Qiang Liu Shu Wu Liang Wang GNN 32 78 0 18 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 28 45 0 14 Jan 2022
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 41 154 0 16 Dec 2021
A Comparative Study on Robust Graph Neural Networks to Structural Noises Zeyu Zhang Yulong Pei NoLa AAML 22 4 0 11 Dec 2021