Deep Learning on Graphs: A Survey

11 December 2018

Peng Cui

Papers citing "Deep Learning on Graphs: A Survey"

50 / 296 papers shown

Title
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Seongjin Choi Gahee Kim Yong-Geun Oh 26 0 0 09 May 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Y. Wang Wenqi Fan Suhang Wang Yao Ma 43 1 0 13 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition Yicong Dong Rundong He Guangyao Chen Wentao Zhang Zhongyi Han Jieming Shi Yilong Yin 43 0 0 01 Mar 2025
Complex Networks for Pattern-Based Data Classification Josimar Chire Khalid Mahmood Zhao Liang 39 0 0 25 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 43 0 0 22 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation Shilong Zhang Wenbo Li Shoufa Chen Chongjian Ge Peize Sun Y. Zhang Yi-Xin Jiang Zehuan Yuan Binyue Peng Ping Luo DiffM VGen 99 3 0 07 Feb 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications Eugenio Borzone Leandro Di Persia Matias Gerard SSL 70 0 0 21 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 52 2 0 08 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 56 0 0 27 Dec 2024
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 77 0 0 18 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 31 0 0 07 Nov 2024
An unified approach to link prediction in collaboration networks Juan Sosa Diego Martínez Nicolás Guerrero 28 0 0 01 Nov 2024
Dynamic graph neural networks for enhanced volatility prediction in financial markets Pulikandala Nithish Kumar Nneka Umeorah Alex Alochukwu 25 0 0 22 Oct 2024
Online design of dynamic networks Duo Wang Andrea Araldo Mounim El Yacoubi 11 0 0 11 Oct 2024
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 35 2 0 11 Oct 2024
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems M. Chenaud Frédéric Magoulès José Alves AI4CE PINN 26 1 0 25 Sep 2024
Temporal Graph Memory Networks For Knowledge Tracing Seif Gad Sherif M. Abdelfattah Ghodai M. Abdelrahman AI4Ed 16 0 0 23 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 26 0 0 09 Sep 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 47 0 0 18 Aug 2024
A Structural Feature-Based Approach for Comprehensive Graph Classification Saiful Islam M. Hasan P. Khanra 33 2 0 10 Aug 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 29 9 0 13 Jul 2024
Advanced Graph Clustering Methods: A Comprehensive and In-Depth Analysis Timothé Watteau Aubin Bonnefoy Simon Illouz-Laurent Joaquim Jusseau Serge Iovleff 35 0 0 12 Jul 2024
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs Ahmad Naser Eddin Jacopo Bono David Aparício Hugo Ferreira Pedro Ribeiro P. Bizarro GNN 29 0 0 10 Jul 2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks Guangrui Yang Jianfei Li Ming Li Han Feng Ding-Xuan Zhou 33 1 0 01 Jul 2024
Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger Embeddings Xiangyu Zhao Hanzhou Wu Xinpeng Zhang 24 0 0 19 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 38 2 0 18 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 36 2 0 14 Jun 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin Francesco Alesiani Takashi Maruyama Federico Errica Henrik Christiansen Makoto Takamoto Nicolas Weber Mathias Niepert 41 5 0 23 May 2024
Towards Knowledge-Infused Automated Disease Diagnosis Assistant Mohit Tomar Abhisek Tiwari Sriparna Saha MedIm 21 3 0 18 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 45 7 0 17 May 2024
Simplicity within biological complexity Nataša Pržulj N. Malod-Dognin 32 0 0 15 May 2024
Graph Neural Network based Handwritten Trajectories Recognition Anuj Sharma Sukhdeep Singh S. Ratna GNN 27 0 0 15 May 2024
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 19 3 0 07 May 2024
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 30 0 0 26 Apr 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 43 8 0 26 Apr 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 24 1 0 25 Apr 2024
PHLP: Sole Persistent Homology for Link Prediction -- Interpretable Feature Extraction Junwon You Eunwoo Heo Jae-Hun Jung 21 1 0 23 Apr 2024
Low-Depth Spatial Tree Algorithms Yves Baumann Tal Ben-Nun Maciej Besta Lukas Gianinazzi Torsten Hoefler Piotr Luczynski 40 0 0 19 Apr 2024
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 30 2 0 17 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 36 2 0 06 Apr 2024
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification Kleanthis Malialis Jin Li C. Panayiotou Marios M. Polycarpou CLL AI4TS 26 0 0 03 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park Ryan Rossi Xing Wang Antoine Simoulin Nesreen K. Ahmed Christos Faloutsos VLM 49 2 0 02 Apr 2024
A Unified CPU-GPU Protocol for GNN Training Yi-Chien Lin Gangda Deng Viktor Prasanna GNN 3DH 34 2 0 25 Mar 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 26 0 0 22 Mar 2024
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph Zhuohang Jiang Bingkui Tong Xia Du Ahmed Alhammadi Jizhe Zhou 27 0 0 14 Mar 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Zhiqiang Zhang Kun Kuang Yan Zhang Yulin Kang Jun Zhou 32 3 0 11 Mar 2024
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning Daixin Wang Zhiqiang Zhang Yeyu Zhao Kai Huang Yulin Kang Jun Zhou AI4TS 28 11 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Mingyu Yan Kun He Wei Yan Shirui Pan Xiaochun Ye Dongrui Fan AAML 25 2 0 10 Mar 2024