v1v2v3 (latest)

Deep Learning on Graphs: A Survey

11 December 2018

Peng Cui

Papers citing "Deep Learning on Graphs: A Survey"

50 / 378 papers shown

Title
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection VS Vibashan Poojan Oza Vishal M. Patel 85 68 0 29 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 121 31 0 23 Mar 2022
Unsupervised Network Embedding Beyond Homophily Zhiqiang Zhong Guadalupe Gonzalez Daniele Grattarola Jun Pang OODD GNN 92 6 0 21 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh Chawla Huan Liu 133 20 0 17 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang Maurice Pagnucco Yang Song 63 31 0 17 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 124 75 0 13 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping Huang Jiulong Shan Zhi-Xin Yang Tengjiao Wang AAML 91 19 0 02 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 85 67 0 02 Mar 2022
Descriptellation: Deep Learned Constellation Descriptors Chunwei Xing Xinyu Sun Andrei Cramariuc Samuel Gull Jen Jen Chung Cesar Cadena Roland Siegwart Florian Tschopp 63 1 0 01 Mar 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 91 38 0 22 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Xiwei Xu Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 120 53 0 22 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Helen Zhou 82 203 0 15 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 106 12 0 10 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 65 44 0 10 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 92 23 0 08 Feb 2022
Robotic Grasping from Classical to Modern: A Survey Hanbo Zhang Jian Tang Shiguang Sun Xuguang Lan 93 41 0 08 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings Krzysztof Sadowski Michal Szarmach Eddie Mattia 65 6 0 01 Feb 2022
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB Zhangyang Gao Cheng Tan Stan Z. Li 187 58 0 01 Feb 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Qing Cui Jun Zhou 180 55 0 27 Jan 2022
On the Power of Gradual Network Alignment Using Dual-Perception Similarities Jin-Duk Park Cong Tran Won-Yong Shin Xin Cao 31 12 0 26 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 107 32 0 20 Jan 2022
Neuroplastic graph attention networks for nuclei segmentation in histopathology images Yoav Alon Huiyu Zhou GNN 50 3 0 10 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 89 3 0 04 Jan 2022
Semi-Supervised Graph Attention Networks for Event Representation Learning João Pedro Rodrigues Mattos R. Marcacini GNN 23 4 0 02 Jan 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 72 94 0 19 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 87 66 0 15 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 70 23 0 14 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning Yang Liu Keze Wang Lingbo Liu Hao Lan Liang Lin SSL AI4TS 137 113 0 07 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 78 28 0 06 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 84 6 0 04 Dec 2021
Node-wise Hardware Trojan Detection Based on Graph Learning Kento Hasegawa Kazuki Yamashita Seira Hidano Kazuhide Fukushima Kazuo Hashimoto N. Togawa 73 27 0 04 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 136 44 0 01 Dec 2021
Graph neural network-based fault diagnosis: a review Zhi-wen Chen Jiamin Xu Cesare Alippi S. Ding Yuri A. W. Shardt Tao Peng Chunhua Yang AI4CE 60 38 0 16 Nov 2021
Patent Data for Engineering Design: A Critical Review and Future Directions Shuo Jiang Serhad Sarica Binyang Song Jie Hu Jianxi Luo PINN AI4CE 48 14 0 15 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation Ke Tu Peng Cui Daixin Wang Qing Cui Jun Zhou Yuan Qi Wenwu Zhu 90 47 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 63 98 0 02 Nov 2021
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping Huang Jiulong Shan Zhi-Xin Yang Tengjiao Wang 86 32 0 28 Oct 2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs Jinwoo Kim Saeyoon Oh Seunghoon Hong AI4CE 66 42 0 27 Oct 2021
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels Artun Bayer Arindam Chowdhury Santiago Segarra 64 5 0 07 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 83 50 0 06 Oct 2021
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 87 13 0 22 Sep 2021
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data Mohammed Amine Gharsallaoui I. Rekik OOD 28 1 0 06 Sep 2021
Localized Graph Collaborative Filtering Yiqi Wang Chaozhuo Li Mingzheng Li Wei Jin Yuming Liu Hao Sun Xing Xie Jiliang Tang 44 12 0 10 Aug 2021
Enterprise Analytics using Graph Database and Graph-based Deep Learning Shagufta Henna Shyam Krishnan Kalliadan GNN 29 2 0 05 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 106 13 0 03 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 73 31 0 02 Aug 2021
ECLARE: Extreme Classification with Label Graph Correlations Anshul Mittal Noveen Sachdeva Sheshansh Agrawal Sumeet Agarwal Purushottam Kar Manik Varma 78 66 0 31 Jul 2021
On the combined effect of class imbalance and concept complexity in deep learning Kushankur Ghosh C. Bellinger Roberto Corizzo Bartosz Krawczyk Nathalie Japkowicz 36 8 0 29 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 160 21 0 21 Jul 2021
A Survey on Role-Oriented Network Embedding Pengfei Jiao Xuan Guo T. Pan Wang Zhang Yulong Pei GNN 78 19 0 18 Jul 2021