Predicting Path Failure In Time-Evolving Graphs

Predicting Path Failure In Time-Evolving Graphs

10 May 2019

Papers citing "Predicting Path Failure In Time-Evolving Graphs"

17 / 17 papers shown

Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities Pengfei Jiao Hongjiang Chen Xuan Guo Zhidong Zhao Dongxiao He Di Jin AI4CE 34 0 0 07 May 2025
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges ZhengZhao Feng Rui Wang TianXing Wang Mingli Song Sai Wu Shuibing He AI4CE 37 10 0 01 May 2024
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference Han-Chen Chen Cong Hao GNN AI4CE 41 9 0 13 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 46 14 0 12 Apr 2023
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 52 14 0 28 Nov 2022
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction Ali Behrouz Margo Seltzer 30 19 0 15 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
ROLAND: Graph Learning Framework for Dynamic Graphs Jiaxuan You Tianyu Du J. Leskovec AI4CE 23 166 0 15 Aug 2022
Research on Domain Information Mining and Theme Evolution of Scientific Papers Changwei Zheng Zhe Xue M. Liang Feifei Kou Zeli Guan AI4CE 32 0 0 18 Apr 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version Sean Bin Yang Chenjuan Guo Jilin Hu B. Yang Jiangtao Tang Christian S. Jensen 33 20 0 30 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping Huang Jiulong Shan Zhi-Xin Yang Bin Cui AAML 38 19 0 02 Mar 2022
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 32 75 0 28 Oct 2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models Benedek Rozemberczki P. Scherer Yixuan He G. Panagopoulos Alexander Riedel ... Oliver Kiss Ferenc Béres Guzmán López Nicolas Collignon Rik Sarkar AI4CE 29 200 0 15 Apr 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions Jianfei Gao Bruno Ribeiro 29 11 0 12 Mar 2021
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 57 1,454 0 04 Jul 2020
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction Haoxing Lin Rufan Bai Weijia Jia Xinyu Yang Yongjian You HAI AI4TS 33 64 0 16 Jun 2020
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention Haoxing Lin Weijia Jia Yongjian You Yiping Sun AI4TS 30 6 0 22 Feb 2020