ROLAND: Graph Learning Framework for Dynamic Graphs

ROLAND: Graph Learning Framework for Dynamic Graphs

15 August 2022

Papers citing "ROLAND: Graph Learning Framework for Dynamic Graphs"

18 / 18 papers shown

Title
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset Jiaqi He Xiangwen Luo Yiping Wang AI4CE 38 0 0 11 Apr 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Xunkai Li Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 54 0 0 27 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu Jiaheng Liu 36 0 0 21 Jan 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou R. Kannan Viktor Prasanna 41 0 0 31 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 86 0 0 21 Dec 2024
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 120 0 0 15 Dec 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 46 1 0 05 Apr 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 42 1 0 08 Jan 2024
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 32 21 0 06 Dec 2023
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs Ahmad Naser Eddin Jacopo Bono David Oliveira Aparício Hugo Ferreira João Tiago Ascensão Pedro Ribeiro P. Bizarro 37 2 0 17 Jul 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 29 13 0 14 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 44 6 0 06 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
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 29 96 0 23 Mar 2023
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 36 7 0 26 Nov 2022
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020