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Deep Learning on Graphs: A Survey

11 December 2018

Peng Cui

Papers citing "Deep Learning on Graphs: A Survey"

50 / 378 papers shown

Title
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Qing Cui Kun Kuang Yan Zhang Yulin Kang Jun Zhou 70 3 0 11 Mar 2024
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning Daixin Wang Qing Cui Yeyu Zhao Kai Huang Yulin Kang Jun Zhou AI4TS 60 11 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 94 2 0 10 Mar 2024
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 72 15 0 08 Mar 2024
Benchmarking Large Language Models for Molecule Prediction Tasks Zhiqiang Zhong Kuangyu Zhou Davide Mottin 73 9 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 102 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 101 20 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 91 10 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 70 8 0 14 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 105 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 364 33 0 25 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 123 10 0 22 Jan 2024
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning Ling Wang Ye Yuan GNN AI4CE 36 8 0 13 Jan 2024
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values Selahattin Akkas Ariful Azad FAtt 112 3 0 09 Jan 2024
Path-based Explanation for Knowledge Graph Completion Heng Chang Jiangnan Ye Alejo López-Ávila Jinhua Du Jia Li 84 6 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 86 9 0 04 Jan 2024
Modeling of Memory Mechanisms in Cerebral Cortex and Simulation of Storage Performance Hui Wei Chenyue Feng Jianning Zhang 32 0 0 31 Dec 2023
One-Shot Multi-Rate Pruning of Graph Convolutional Networks H. Sahbi 57 0 0 29 Dec 2023
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding K. Abdous Nairouz Mrabah Mohamed Bouguessa 61 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 111 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 83 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 79 2 0 04 Dec 2023
Online Influence Maximization: Concept and Algorithm Jianxiong Guo 68 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 116 8 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 73 6 0 22 Nov 2023
Social Media Bot Detection using Dropout-GAN Anant Shukla M. Jureček Mark Stamp 59 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 88 0 0 03 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients Maximilian Krahn Michele Sasdelli Fengyi Yang Vladislav Golyanik Arno Solin Tat-Jun Chin Tolga Birdal MQ 170 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 72 1 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 118 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 97 25 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 Homayoun Najjaran 73 12 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 Babak Shahbaba 115 1 0 23 Sep 2023
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? Lianke Qin Zhao Song Baocheng Sun 98 7 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 73 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 189 716 0 18 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu Alessio Micheli 73 7 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 231 26 0 16 Aug 2023
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation Zizhang Wu Yuanzhu Gan Tianhao Xu Fan Wang ViT 57 8 0 15 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 100 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 122 5 0 26 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 146 12 0 22 Jul 2023
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space Haibin Zheng Jinyin Chen Haibo Jin AAML 53 7 0 18 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuanchen Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 88 6 0 06 Jul 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu Guansong Pang Ling-Hao Chen 107 17 0 03 Jul 2023
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning H. Sahbi 56 0 0 30 Jun 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 86 3 0 20 Jun 2023
Dual Node and Edge Fairness-Aware Graph Partition Tingwei Liu Peizhao Li Hongfu Liu 55 0 0 16 Jun 2023
Generated Graph Detection Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 52 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 91 7 0 12 Jun 2023