Neural Predicting Higher-order Patterns in Temporal Networks

v1v2 (latest)

Neural Predicting Higher-order Patterns in Temporal Networks

10 June 2021

ArXiv (abs)PDF HTML

Papers citing "Neural Predicting Higher-order Patterns in Temporal Networks"

9 / 9 papers shown

Title
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models Zifeng Ding Yifeng Li Yuan He Antonio Norelli Jingcheng Wu Volker Tresp Yunpu Ma Michael Bronstein Mamba 107 3 0 08 Aug 2024
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 62 9 0 07 Nov 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 50 8 0 31 Aug 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks Ali Behrouz Farnoosh Hashemi Sadaf Sadeghian Margo Seltzer 85 16 0 19 Jun 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 53 4 0 20 Apr 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 176 9 0 06 Mar 2023
Neighborhood-aware Scalable Temporal Network Representation Learning Yu Luo Pan Li GNN AI4TS 75 52 0 02 Sep 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 100 35 0 14 Jul 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 65 37 0 28 Feb 2022