Deep Learning on Graphs: A Survey

11 December 2018

Peng Cui

Papers citing "Deep Learning on Graphs: A Survey"

50 / 296 papers shown

Title
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks Marco De Nadai Francesco Fabbri Paul Gigioli Alice Wang Ang Li ... Sandeep Ghael David Nyhan Hugues Bouchard M. Lalmas Andreas Damianou 30 11 0 08 Mar 2024
Benchmarking Large Language Models for Molecule Prediction Tasks Zhiqiang Zhong Kuangyu Zhou Davide Mottin 32 7 0 08 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 40 12 0 08 Mar 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Eric Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 29 17 0 08 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 38 8 0 06 Mar 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 26 9 0 14 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 39 5 0 09 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 65 26 0 25 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 29 9 0 22 Jan 2024
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning Ling Wang Ye Yuan GNN AI4CE 19 8 0 13 Jan 2024
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values Selahattin Akkas Ariful Azad FAtt 32 3 0 09 Jan 2024
Path-based Explanation for Knowledge Graph Completion Heng Chang Jiangnan Ye Alejo López-Ávila Jinhua Du Jia Li 27 3 0 04 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
Modeling of Memory Mechanisms in Cerebral Cortex and Simulation of Storage Performance Hui Wei Chenyue Feng Jianning Zhang 14 0 0 31 Dec 2023
One-Shot Multi-Rate Pruning of Graph Convolutional Networks H. Sahbi 28 0 0 29 Dec 2023
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding K. Abdous Nairouz Mrabah Mohamed Bouguessa 25 4 0 28 Dec 2023
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering Haili Ye Xiaoqing Zhang Yan Hu Huazhu Fu Jiang-Dong Liu 35 4 0 20 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 32 3 0 11 Dec 2023
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks Gokul S Krishnan Sarala Padi Craig S. Greenberg Balaraman Ravindran Dinesh Manoch Ram D.Sriram 25 2 0 04 Dec 2023
Online Influence Maximization: Concept and Algorithm Jianxiong Guo 28 0 0 30 Nov 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 30 6 0 30 Nov 2023
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments Xin Ai Qiange Wang Chunyu Cao Yanfeng Zhang Chaoyi Chen Hao Yuan Yu Gu Ge Yu GNN 30 5 0 22 Nov 2023
Social Media Bot Detection using Dropout-GAN Anant Shukla M. Jureček Mark Stamp 30 2 0 09 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 19 0 0 03 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients Maximilian Krahn Michele Sasdelli Fengyi Yang Vladislav Golyanik Juho Kannala Tat-Jun Chin Tolga Birdal MQ 67 2 0 23 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 27 0 0 23 Oct 2023
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat Florian Führer Andrea Gruber Holger Diedam A. Göller Stephan Menz S. Schneckener 15 3 0 13 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 38 22 0 10 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 29 11 0 04 Oct 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin B. Shahbaba 28 1 0 23 Sep 2023
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? Lianke Qin Zhao-quan Song Baocheng Sun 23 6 0 14 Sep 2023
Cached Operator Reordering: A Unified View for Fast GNN Training Julia Bazinska Andrei Ivanov Tal Ben-Nun Nikoli Dryden Maciej Besta Siyuan Shen Torsten Hoefler GNN 14 3 0 23 Aug 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models Maciej Besta Nils Blach Aleš Kubíček Robert Gerstenberger Michal Podstawski ... Joanna Gajda Tomasz Lehmann H. Niewiadomski Piotr Nyczyk Torsten Hoefler LRM AI4CE LM&Ro 56 592 0 18 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu A. Micheli 19 6 0 17 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation Zizhang Wu Yuanzhu Gan Tianhao Xu Fan Wang ViT 25 8 0 15 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 26 9 0 08 Aug 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance I. Triguero Daniel Molina Javier Poyatos Javier Del Ser Francisco Herrera AI4TS AI4MH 26 5 0 26 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Xia Hu 30 11 0 22 Jul 2023
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space Haibin Zheng Jinyin Chen Haibo Jin AAML 11 7 0 18 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 36 6 0 06 Jul 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu Guansong Pang Ling-Hao Chen 26 14 0 03 Jul 2023
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning H. Sahbi 22 0 0 30 Jun 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 39 3 0 20 Jun 2023
Dual Node and Edge Fairness-Aware Graph Partition Tingwei Liu Peizhao Li Hongfu Liu 21 0 0 16 Jun 2023
Generated Graph Detection Y. Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 14 0 0 13 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 21 7 0 12 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 31 50 0 07 Jun 2023
A Novel Correlation-optimized Deep Learning Method for Wind Speed Forecast Yang Yang Jin Lang Jian Wu Yanyan Zhang Xiangman Song 22 7 0 03 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training Borui Wan Juntao Zhao Chuan Wu GNN 14 14 0 02 Jun 2023