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
Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction Artur M. Schweidtmann Jan G. Rittig Jana M. Weber Martin Grohe Manuel Dahmen K. Leonhard Alexander Mitsos 16 24 0 27 Jul 2022
Graph neural networks for the prediction of molecular structure-property relationships Jan G. Rittig Qing-Bin Gao Manuel Dahmen Alexander Mitsos Artur M. Schweidtmann AI4CE 21 10 0 25 Jul 2022
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction Inhwan Bae Jin-Hwi Park Hae-Gon Jeon 34 44 0 20 Jul 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 27 10 0 18 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Bo Du Wenbin Hu Danilo Mandic 42 28 0 18 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 28 24 0 14 Jul 2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting Aosong Feng Leandros Tassiulas AI4TS 19 59 0 09 Jul 2022
Machine learning of percolation models using graph convolutional neural networks Hua Tian Li-Ru Zhang Youjin Deng Wanzhou Zhang AI4CE 14 0 0 07 Jul 2022
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition Ying Hu Yu Tang Hao-Ming Huang Liang He 33 5 0 03 Jul 2022
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning Jiawei Zhang GNN 12 0 0 27 Jun 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 35 11 0 26 Jun 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 19 74 0 26 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 46 57 0 22 Jun 2022
Boosting Graph Structure Learning with Dummy Nodes Xin Liu Cheng Jiayang Yangqiu Song Xin Jiang 3DH 12 23 0 17 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 24 12 0 17 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 31 98 0 15 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 32 62 0 15 Jun 2022
tBDFS: Temporal Graph Neural Network Leveraging DFS Uriel Singer Haggai Roitman Ido Guy Kira Radinsky AI4CE 23 0 0 12 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 25 17 0 11 Jun 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 31 27 0 11 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 21 110 0 09 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 17 82 0 06 Jun 2022
A Simple yet Effective Method for Graph Classification Junran Wu Shangzhe Li Jianhao Li Yicheng Pan Keyulu Xu 69 25 0 06 Jun 2022
An Unpooling Layer for Graph Generation Yi Guo Dongmian Zou Gilad Lerman 16 2 0 04 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 27 45 0 02 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 46 12 0 31 May 2022
Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 49 20 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 46 0 0 31 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 19 31 0 28 May 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 21 12 0 27 May 2022
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control Jinming Ma Feng Wu 11 5 0 27 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 75 25 0 24 May 2022
Deep Representations for Time-varying Brain Datasets Sikun Lin Shuyun Tang Scott T. Grafton Ambuj K. Singh AI4CE 19 6 0 23 May 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 45 549 0 22 May 2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification Wei Ju Junwei Yang Meng Qu Weiping Song Jianhao Shen Ming Zhang 41 42 0 21 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 29 2 0 20 May 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation David Ireland Giovanni Montana GNN 14 10 0 20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 24 1 0 20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks Sumit K. Mandal Gokul Krishnan A. Alper Goksoy Gopikrishnan R. Nair Yu Cao Ümit Y. Ogras GNN 29 10 0 15 May 2022
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction Jiahua Rao Shuangjia Zheng Sijie Mai Yuedong Yang 15 11 0 12 May 2022
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network Hao Ren Xiaojun Liang Chunhua Yang Zhiwen Chen W. Gui 13 10 0 11 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures Yunjae Lee Jin-Won Chung Minsoo Rhu GNN 29 48 0 10 May 2022
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck Kaizhong Zheng Shujian Yu Baojuan Li Robert Jenssen Badong Chen AI4MH 29 9 0 07 May 2022
Functional2Structural: Cross-Modality Brain Networks Representation Learning Haoteng Tang Xiyao Fu Lei Guo Yalin Wang S. Mackin O. Ajilore Alex Leow Paul M. Thompson Heng-Chiao Huang Liang Zhan 9 0 0 06 May 2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong 15 4 0 27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 31 1 0 26 Apr 2022
Graph neural networks and attention-based CNN-LSTM for protein classification Zhuangwei Shi Bo Li 17 3 0 20 Apr 2022
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer Wang Zeng Sheng Jin Wentao Liu Chao Qian Ping Luo Ouyang Wanli Xiaogang Wang ViT 23 120 0 19 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Jia Wu Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 30 80 0 15 Apr 2022