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
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision Yufeng Yang Adrian Kneip Charlotte Frenkel GNN 36 4 0 30 Apr 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 51 4 0 24 Apr 2024
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling Zehao Dong Muhan Zhang Yixin Chen 51 0 0 21 Apr 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 29 3 0 18 Apr 2024
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski Frederik Wenkel Farimah Poursafaei Nia Dickson Karush Suri Philip Fradkin Dominique Beaini GNN AI4CE 39 12 0 17 Apr 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism Shuzhou Yuan Michael Farber 40 2 0 10 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Clustering for Protein Representation Learning Ruijie Quan Wenguan Wang Fan Ma Hehe Fan Yi Yang 29 5 0 30 Mar 2024
SSHPool: The Separated Subgraph-based Hierarchical Pooling Zhuo Xu Lixin Cui Yue Wang Hangyuan Du Lu Bai Edwin R. Hancock 26 1 0 24 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 72 2 0 19 Mar 2024
Graph Unitary Message Passing Haiquan Qiu Yatao Bian Quanming Yao 37 2 0 17 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 36 0 0 13 Mar 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data Jinghan Huang Qiufeng Chen Yijun Bian Pengli Zhu Nanguang Chen Moo K. Chung Anqi Qiu 40 0 0 11 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 63 1 0 10 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 45 12 0 08 Mar 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 36 35 0 07 Mar 2024
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology K. Dharma Clayton T. Morrison 35 0 0 07 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 45 1 0 06 Mar 2024
Improving out-of-distribution generalization in graphs via hierarchical semantic environments Yinhua Piao Sangseon Lee Yijingxiu Lu Sun Kim OOD 36 2 0 04 Mar 2024
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting Wei Ju Yusheng Zhao Yifang Qin Siyu Yi Jingyang Yuan Zhiping Xiao Xiao Luo Xiting Yan Ming Zhang 26 23 0 02 Mar 2024
Boosting Graph Pooling with Persistent Homology Chaolong Ying Xinjian Zhao Tianshu Yu GNN AI4CE 34 4 0 26 Feb 2024
Graph Parsing Networks Yunchong Song Siyuan Huang Xinbing Wang Cheng Zhou Zhouhan Lin GNN 37 3 0 22 Feb 2024
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation Yihao Fang Stephen W. Thomas Xiaodan Zhu RALM 18 2 0 14 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh V. Chawla 24 1 0 12 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 21 6 0 11 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He Gesine Reinert Lukasz Szpruch Samuel N. Cohen 48 3 0 10 Feb 2024
Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data Jinwei Zeng Yu Liu Jingtao Ding Jian Yuan Yong Li 17 0 0 07 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network Tan Sun Junhong Lin AAML 29 2 0 06 Feb 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations Binghui Xie Yatao Bian Kaiwen Zhou Yongqiang Chen Peilin Zhao Bo Han Wei Meng James Cheng 21 1 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Fan Zhang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun-Xiong Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Xinfeng Li Kun Wang Fan Zhang Yongduo Sui Kai Wang Yuxuan Liang Dawei Cheng Shirui Pan Tianlong Chen 27 10 0 02 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 32 8 0 29 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 39 9 0 22 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 81 6 0 18 Jan 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 34 2 0 17 Jan 2024
MGNet: Learning Correspondences via Multiple Graphs Luanyuan Dai Xiaoyu Du Hanwang Zhang Jinhui Tang FedML 14 5 0 10 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 41 9 0 04 Jan 2024
Saliency-Aware Regularized Graph Neural Network Wenjie Pei Weina Xu Zongze Wu Weichao Li Jinfan Wang Guangming Lu Xiangrong Wang 19 4 0 01 Jan 2024
MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning Zhaoning Yu Hongyang Gao 22 1 0 24 Dec 2023
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization Aritra Bhowmick Mert Kosan Zexi Huang Ambuj K. Singh Sourav Medya 17 17 0 20 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 28 2 0 19 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 42 3 0 11 Dec 2023
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network Ruyue Liu Rong Yin Yong Liu Weiping Wang SSL 21 3 0 10 Dec 2023
Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney Tatiana López-Guevara Tobias Pfaff Yulia Rubanova Thomas Kipf Kimberly L. Stachenfeld Kelsey R. Allen VGen 30 11 0 08 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets Jiale Yan Hiroaki Ito Ángel López García-Arias Yasuyuki Okoshi Hikari Otsuka Kazushi Kawamura Thiem Van Chu Masato Motomura 30 1 0 06 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 43 5 0 05 Dec 2023
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey Shengchao Chen Guodong Long Jing Jiang Dikai Liu Chengqi Zhang SyDa AI4CE 34 24 0 05 Dec 2023