Representation Learning on Graphs: Methods and Applications

17 September 2017

Papers citing "Representation Learning on Graphs: Methods and Applications"

50 / 305 papers shown

Title
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 47 14 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 38 6 0 27 Nov 2022
Influencer Detection with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Hernán García Alejandro Correa-Bahnsen Bart Baesens M. Snoeck Cristián Bravo GNN 33 5 0 15 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 36 5 0 07 Nov 2022
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 25 1 0 03 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 39 4 0 01 Nov 2022
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering Zhiying Xu Francis Y. Yan Rachee Singh Justin T. Chiu Alexander M. Rush Minlan Yu 23 44 0 25 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation Rui Li Weihua Li Yi Yang Hanyu Wei Jianhua Jiang Quan-wei Bai DiffM 27 11 0 18 Oct 2022
Graph Anomaly Detection with Unsupervised GNNs Lingxiao Zhao Saurabh Sawlani Arvind Srinivasan Leman Akoglu 39 17 0 18 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 50 3 0 11 Oct 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 43 0 0 08 Oct 2022
Dynamic Latent Separation for Deep Learning Yi-Lin Tuan Zih-Yun Chiu William Yang Wang 36 0 0 07 Oct 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuan-Qi Bei Feiran Huang BDL GNN 21 1 0 25 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 23 6 0 16 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification Aleksandar Tomcic Miloš Savić Miloš Radovanović 16 2 0 15 Sep 2022
Earthquake Phase Association with Graph Neural Networks I. McBrearty G. Beroza 27 39 0 15 Sep 2022
Socially Enhanced Situation Awareness from Microblogs using Artificial Intelligence: A Survey Rabindra Lamsal Aaron Harwood M. Read 40 20 0 13 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 224 1,311 0 02 Sep 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 33 22 0 21 Aug 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search Xinshun Feng Herun Wan Shangbin Feng Hongrui Wang Jun Zhou Qinghua Zheng Minnan Luo 27 4 0 18 Aug 2022
CSSAM:Code Search via Attention Matching of Code Semantics and Structures Yitao Hu Bowen Cai Yaoxiang Yu 21 3 0 08 Aug 2022
Neuro-symbolic computing with spiking neural networks Dominik Dold J. Garrido Victor Caceres Chian Marcel Hildebrandt Thomas Runkler NAI 32 5 0 04 Aug 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 32 32 0 30 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 71 0 13 Jul 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning Adnan Ali Jinlong Li OOD 24 7 0 05 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis Mohammad Sabbaqi Elvin Isufi GNN AI4TS 40 14 0 30 Jun 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 22 82 0 30 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 38 37 0 09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 16 17 0 09 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 32 5 0 08 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 33 11 0 03 Jun 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks Xiao Han Leye Wang Junjie Wu Yuncong Yang 18 4 0 28 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 78 25 0 24 May 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 50 24 0 22 May 2022
Diversity Preference-Aware Link Recommendation for Online Social Networks Kexin Yin Xiao Fang Bi-Yi Chen O. R. Sheng 14 10 0 21 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction Hanxuan Cai Huimin Zhang Duancheng Zhao Jingxing Wu Ling Wang 36 123 0 08 May 2022
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning Jun Zhu C´eline Hudelot 19 3 0 04 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 24 4 0 18 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 26 29 0 06 Apr 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 27 21 0 30 Mar 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeon-ju Park Seunghun Lee S. Kim Jinyoung Park Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 16 49 0 26 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 21 20 0 20 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 31 67 0 13 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 30 63 0 02 Mar 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 29 57 0 24 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 41 55 0 18 Feb 2022