Hierarchical Graph Representation Learning with Differentiable Pooling

22 June 2018

Xiang Ren

Papers citing "Hierarchical Graph Representation Learning with Differentiable Pooling"

50 / 946 papers shown

Title
Learning High-Order Relationships of Brain Regions Weikang Qiu Huangrui Chu Selena Wang Haolan Zuo Xiaoxiao Li Yize Zhao Rex Ying 29 5 0 02 Dec 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization Feiping Nie Jitao Lu Danyang Wu Rong Wang Xuelong Li 10 8 0 26 Nov 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 38 1 0 25 Nov 2023
Hard Label Black Box Node Injection Attack on Graph Neural Networks Yu Zhou Zihao Dong Guofeng Zhang Jingchen Tang AAML GNN 11 0 0 22 Nov 2023
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes Chuang Liu Wenhang Yu Kuang Gao Xueqi Ma Yibing Zhan Jia Wu Bo Du Wenbin Hu 19 0 0 21 Nov 2023
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes P. Srivatsa Thomas Plötz GNN 25 2 0 16 Nov 2023
Mixed Attention Network for Cross-domain Sequential Recommendation Guanyu Lin Chen Gao Y. Zheng Jianxin Chang Yanan Niu ... Kun Gai Zhiheng Li Depeng Jin Yong Li Meng Wang 13 22 0 14 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 23 6 0 12 Nov 2023
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning Hao Xu Yifei Wang Yunrui Li Pengyu Hong Pengyu Hong 27 3 0 11 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 23 9 0 08 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 21 0 0 03 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 34 3 0 02 Nov 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng ... Tianyi Zhang Ningtao Wang Xin Fu Qi Li Weiqiang Wang SSL 31 1 0 17 Oct 2023
A Local Graph Limits Perspective on Sampling-Based GNNs Yeganeh Alimohammadi Luana Ruiz Amin Saberi 27 2 0 17 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 37 4 0 16 Oct 2023
Graph Neural Network-based EEG Classification: A Survey D. Klepl Min Wu F. He 46 21 0 03 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 34 20 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 19 1 0 02 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Weakly Supervised Semantic Segmentation by Knowledge Graph Inference Jia Zhang Bo Peng Xi Wu 24 3 0 25 Sep 2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation S. K. Mukkavilli Daniel Salles Civitarese J. Schmude Johannes Jakubik Anne Jones ... R. Ganti Hendrik Hamann U. Nair Rahul Ramachandran Kommy Weldemariam AI4Cl AI4CE 30 18 0 19 Sep 2023
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images Amaya Gallagher-Syed Luca Rossi F. Rivellese C. Pitzalis M. Lewis Michael Barnes Gregory Slabaugh 27 0 0 19 Sep 2023
GDM: Dual Mixup for Graph Classification with Limited Supervision Abdullah Alchihabi Yuhong Guo 8 0 0 18 Sep 2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis Xiangzhu Meng Wei Wei Qiang Liu Shu Wu Liang Wang 27 0 0 14 Sep 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering Si-Yu Yi Wei Ju Yifang Qin Xiao Luo Luchen Liu Yong-Dao Zhou Ming Zhang 33 24 0 09 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Lanning Wei Zhiqiang He Huan Zhao Quanming Yao LLMAG 30 9 0 08 Sep 2023
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention Hao Zhang Haisheng Li Nan Li Xiaochuan Wang AI4CE 16 2 0 03 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 25 7 0 31 Aug 2023
Curvature-based Pooling within Graph Neural Networks Cedric Sanders Andreas Roth Thomas Liebig 38 5 0 31 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Edge-aware Hard Clustering Graph Pooling for Brain Imaging Cheng Zhu Jiayi Zhu Xi Wu Lijuan Zhang Shu-Huei Yang Ping Liang Honghan Chen Ying Tan 30 0 0 23 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 28 7 0 22 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang K. Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 29 8 0 19 Aug 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 30 4 0 17 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting Tianyu Fu Chiyue Wei Yu Wang Rex Ying GNN 24 6 0 16 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation Xiaolin Zheng Zhongyu Wang Chaochao Chen Jiashu Qian Yao Yang FedML 35 8 0 15 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 60 151 0 14 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 40 10 0 14 Aug 2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket Yuwen Wang Shunyu Liu Kai Chen Tongtian Zhu Jilin Qiao Mengjie Shi Yuanyu Wan Mingli Song 16 6 0 05 Aug 2023
Structural Embeddings of Tools for Large Language Models Eren Unlu 11 1 0 01 Aug 2023
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning Junhyun Lee Bumsoo Kim Minji Jeon Jaewoo Kang GNN 31 1 0 28 Jul 2023
Maximal Independent Sets for Pooling in Graph Neural Networks Stevan Stanovic Benoit Gaüzère Luc Brun 14 1 0 24 Jul 2023
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats Wei Chen Yihui Ren Ai Kagawa Matthew R. Carbone Sam Yen-Chi Chen ... Austin R. Clyde Arvind Ramanathan R. Stevens Hubertus Van Dam D. Lu OOD 22 2 0 17 Jul 2023
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold Tuc Nguyen-Van Dung D. Le The-Anh Ta 38 1 0 10 Jul 2023
Contrastive Graph Pooling for Explainable Classification of Brain Networks Jiaxing Xu Qingtian Bian Xinhang Li Aihu Zhang Yiping Ke Miao Qiao Wei Zhang Wei Khang Jeremy Sim Balázs Gulyás 17 3 0 07 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 38 6 0 06 Jul 2023
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network Zizhuo Li Jiayi Ma 27 2 0 04 Jul 2023