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
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding Zijian Dong Yilei Wu Yu Xiao J. Chong Yueming Jin J. Zhou MedIm 24 5 0 03 Jul 2023
Graph Neural Networks based Log Anomaly Detection and Explanation Zhong Li Jiayang Shi M. Leeuwen 38 11 0 02 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks Gao Li M. Duda Xinming Zhang Danai Koutra Yujun Yan 13 8 0 26 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
Directional diffusion models for graph representation learning Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 20 13 0 22 Jun 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 28 11 0 22 Jun 2023
Geometric Pooling: maintaining more useful information Hao Xu Jia Liu Yang Shen Kenan Lou Yanxia Bao Ruihua Zhang Shuyue Zhou Hongsen Zhao Shuai Wang 27 0 0 21 Jun 2023
Structure-Sensitive Graph Dictionary Embedding for Graph Classification Guangyi Liu Tong Zhang Xudong Wang Wenting Zhao Chuanwei Zhou Zhen Cui 30 1 0 18 Jun 2023
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting Yirong Chen Ziyue Li Wanli Ouyang M. Lepech AI4TS 21 5 0 15 Jun 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 30 6 0 15 Jun 2023
Analysis and Approximate Inference of Large Random Kronecker Graphs Zhenyu Liao Yuanqian Xia Chengmei Niu Yong Xiao 66 0 0 14 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology Milan Aryal Nasim Yahyasoltani MedIm 19 0 0 14 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 26 7 0 12 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 18 26 0 09 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio' Yiren Zhao 20 1 0 08 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs Z. Yang Tinglin Huang Ming Ding Yuxiao Dong Rex Ying Yukuo Cen Yangli-ao Geng Jie Tang SSL VLM 26 9 0 06 Jun 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 38 1 0 31 May 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 30 30 0 31 May 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo P. Mandic Cesare Alippi AI4TS 26 9 0 30 May 2023
Graph Generation with $K^2$ -trees Yunhui Jang Dongwoo Kim Sungsoo Ahn 40 2 0 30 May 2023
Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space Xiaogang Peng Hao Wen Yikai Luo Xiao Zhou K. Yu Yigang Wang Zizhao Wu 25 10 0 30 May 2023
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications Marion Neumeier Andreas Tollkühn S. Dorn M. Botsch Wolfgang Utschick GNN 19 4 0 25 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 27 6 0 25 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 34 6 0 25 May 2023
Size Generalization of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective Gao Li Danai Koutra Yujun Yan 21 1 0 24 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 56 3 0 23 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 27 18 0 20 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 25 4 0 17 May 2023
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization Haohui Wang Baoyu Jing Kaize Ding Yada Zhu Wei Cheng Si Zhang Yonghui Fan Liqing Zhang Dawei Zhou 47 6 0 17 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation Yiheng Zhu Zhenqiu Ouyang Ben Liao Jialun Wu YiXuan Wu Chang-Yu Hsieh Tingjun Hou Jian Wu AI4CE 26 5 0 15 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 36 4 0 12 May 2023
Graph Neural Network for Accurate and Low-complexity SAR ATR Bingyi Zhang Sasindu Wijeratne R. Kannan Viktor Prasanna Carl E. Busart GNN 14 4 0 11 May 2023
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning Jean Vassoyan Jill-Jênn Vie Pirmin Lemberger GNN 16 2 0 10 May 2023
NervePool: A Simplicial Pooling Layer Sarah McGuire E. Munch M. Hirn 33 1 0 10 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 33 5 0 10 May 2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis Wei Dai Hejie Cui Xuan Kan Ying Guo S. V. Rooij Carl Yang 32 12 0 06 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 13 6 0 05 May 2023
HiPool: Modeling Long Documents Using Graph Neural Networks Irene Z Li Aosong Feng Dragomir R. Radev Rex Ying 17 5 0 05 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 35 14 0 04 May 2023
BrainNPT: Pre-training of Transformer networks for brain network classification Jinlong Hu Ya-Lin Huang Nan Wang Shoubin Dong ViT MedIm 21 6 0 02 May 2023
Strengthening structural baselines for graph classification using Local Topological Profile J. Adamczyk Wojciech Czech 30 3 0 01 May 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification Wei Ju Xiao Luo Meng Qu Yifan Wang C. L. Philip Chen Minghua Deng Xiansheng Hua Ming Zhang 21 34 0 23 Apr 2023
Graph Neural Networks for Text Classification: A Survey Kunze Wang Yihao Ding S. Han FaML GNN 23 25 0 23 Apr 2023
What Do GNNs Actually Learn? Towards Understanding their Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis GNN AI4CE 15 0 0 21 Apr 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 28 4 0 20 Apr 2023
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network Yuanwei Fang Zihao Liu YanHeng Lu Jiawei Liu Jiajie Li Yingqi Jin Jing Chen Yen-kuang Chen Hongzhong Zheng Yuan Xie MLAU 19 2 0 18 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini Cesare Alippi 22 0 0 11 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification Huaiyuan Liu Xianzhang Liu Donghua Yang Zhiyu Liang Hongzhi Wang Yong Cui Jun Gu AI4TS 38 28 0 11 Apr 2023