EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

26 February 2019

Papers citing "EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs"

50 / 360 papers shown

Title
Machine Learning on Dynamic Graphs: A Survey on Applications Sanaz Hasanzadeh Fard AI4CE 26 3 0 16 Jan 2024
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning Ling Wang Ye Yuan GNN AI4CE 24 8 0 13 Jan 2024
A General Benchmark Framework is Dynamic Graph Neural Network Need Yusen Zhang 24 0 0 12 Jan 2024
Predicting the structure of dynamic graphs Sevvandi Kandanaarachchi AI4TS AI4CE 22 0 0 08 Jan 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 34 1 0 08 Jan 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis Dexu Kong Anping Zhang Yang Li 33 1 0 06 Jan 2024
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification Zinuo You Pengju Zhang Jin Zheng John Cartlidge AIFin DiffM 13 5 0 05 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction Zinuo You Zijian Shi Hongbo Bo John Cartlidge Li Zhang Yan Ge AIFin DiffM 23 2 0 03 Jan 2024
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs Xiaobo Zhu Yan Wu Zhipeng Li Hailong Su Jin Che Zhanheng Chen Liying Wang 19 0 0 13 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 35 5 0 05 Dec 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs Yuchen Zhong Guangming Sheng Tianzuo Qin Minjie Wang Quan Gan Chuan Wu AI4CE GNN 29 6 0 29 Nov 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation Yuhao Yang Lianghao Xia Da Luo Kangyi Lin Chao Huang AI4CE 42 15 0 28 Nov 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning Jintang Li Jiawang Dan Ruofan Wu Jing Zhou Sheng Tian ... Changhua Meng Weiqiang Wang Yuchang Zhu Liang Chen Zibin Zheng AI4CE 39 0 0 28 Nov 2023
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering Itay Buchnik G. Sagi Nimrod Leinwand Yuval Loya Nir Shlezinger T. Routtenberg 32 5 0 28 Nov 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction Zeyang Zhang Xingwang Li Fei Teng Ning Lin Xueling Zhu Xin Eric Wang Wenwu Zhu OOD 34 11 0 27 Nov 2023
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks Xiangjian Jiang Yanyi Pu AI4TS AI4CE 21 2 0 21 Nov 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 25 16 0 18 Nov 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs Yeyuan Chen Dingmin Wang 19 0 0 03 Nov 2023
DyExplainer: Explainable Dynamic Graph Neural Networks Tianchun Wang Dongsheng Luo Wei Cheng Haifeng Chen Xiang Zhang 32 3 0 25 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon C. Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT Zhen Zhang B. Luo Shengliang Lu Bingsheng He 26 13 0 18 Oct 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks Xiaobo Zhu Yan Wu Qin-Hu Zhang Zhanheng Chen Ying He AI4CE 16 2 0 15 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection Zhirui Pan Guangzhong Wang Zhaoning Li Lifeng Chen Yang Bian Zhongyuan Lai FedML 27 2 0 12 Oct 2023
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding Zixuan Liu G. Hiranandani Kun Qian E-Wen Huang Yi Xu Belinda Zeng Karthik Subbian Sheng Wang AI4TS 33 0 0 07 Oct 2023
Leveraging Temporal Graph Networks Using Module Decoupling Or Feldman Chaim Baskin OOD OffRL 24 1 0 04 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 37 1 0 30 Sep 2023
Recurrent Temporal Revision Graph Networks Yizhou Chen Anxiang Zeng Guangda Huzhang Qingtao Yu Kerui Zhang Yuan Cao Kangle Wu Han Yu Zhiming Zhou 39 3 0 22 Sep 2023
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification Meng Liu K. Liang Dayu Hu Hao Yu Yue Liu Lingyuan Meng Wenxuan Tu Sihang Zhou Xinwang Liu 18 25 0 21 Sep 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update Dan Wu Zhaoying Li Tulika Mitra GNN 8 1 0 20 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 26 3 0 07 Sep 2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks Qian Huang Jiawei Jiang Xi Rao Ce Zhang Zhichao Han ... Quanqing Xu Yang Zhao Chuang Hu Shuo Shang Bo Du 19 8 0 31 Aug 2023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs Dongjin Lee Juho Lee Kijung Shin AAML 26 1 0 21 Aug 2023
DySuse: Susceptibility Estimation in Dynamic Social Networks Yingdan Shi Jingya Zhou Congcong Zhang 14 1 0 21 Aug 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations Lekang Jiang Caiqi Zhang Farimah Poursafaei Shenyang Huang 26 2 0 15 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 18 4 0 13 Aug 2023
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction Tao Zou Le Yu Leilei Sun Bo Du Deqing Wang Fuzhen Zhuang 13 8 0 04 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 53 11 0 29 Jul 2023
Finding Money Launderers Using Heterogeneous Graph Neural Networks F. Johannessen Martin Jullum 23 4 0 25 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 20 8 0 24 Jul 2023
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning Yutian Pang Jueming Hu Christopher S. Lieber N. Cooke Yongming Liu 11 20 0 20 Jul 2023
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers Sameera Horawalavithana Ellyn Ayton A. Usenko Robin Cosbey Svitlana Volkova AI4TS 22 0 0 18 Jul 2023
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Bart Baesens M. Snoeck Cristián Bravo 27 2 0 16 Jul 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 23 13 0 14 Jul 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 37 11 0 12 Jul 2023
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence Zheli Xiong Defu Lian Enhong Chen Gang Chen Xiaomin Cheng AI4TS 12 1 0 11 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 36 5 0 05 Jul 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 25 2 0 04 Jul 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Shenyang Huang Farimah Poursafaei Jacob Danovitch Matthias Fey Weihua Hu Emanuele Rossi J. Leskovec Michael M. Bronstein Guillaume Rabusseau Reihaneh Rabbany 26 83 0 03 Jul 2023
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding Zijian Dong Yilei Wu Yu Xiao J. Chong Yueming Jin J. Zhou MedIm 21 5 0 03 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023