ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.10280
  4. Cited By
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

17 June 2023
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Xu Zhou
Jiawei Chen
Qiaoyu Tan
Daochen Zha
Yan Feng
Chun-Yen Chen
C. Wang
ArXivPDFHTML

Papers citing "OpenGSL: A Comprehensive Benchmark for Graph Structure Learning"

12 / 12 papers shown
Title
Rethinking Graph Structure Learning in the Era of LLMs
Rethinking Graph Structure Learning in the Era of LLMs
Zhihan Zhang
Xunkai Li
Guang Zeng
Hongchao Qin
Rong-Hua Li
Guoren Wang
49
0
0
27 Mar 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
73
0
0
15 Mar 2025
Uncertainty-Aware Graph Structure Learning
Uncertainty-Aware Graph Structure Learning
Shen Han
Zhiyao Zhou
Jiawei Chen
Zhezheng Hao
Sheng Zhou
Gang Wang
Yan Feng
Chong Chen
C. Wang
49
2
0
20 Feb 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
174
0
0
03 Jan 2025
Re-evaluating the Advancements of Heterophilic Graph Learning
Re-evaluating the Advancements of Heterophilic Graph Learning
Sitao Luan
Qincheng Lu
Chenqing Hua
Xueliang Wang
Jiaqi Zhu
Xiao-Wen Chang
70
2
0
09 Sep 2024
GraphEdit: Large Language Models for Graph Structure Learning
GraphEdit: Large Language Models for Graph Structure Learning
Zirui Guo
Lianghao Xia
Yanhua Yu
Yuling Wang
Zixuan Yang
Zhiyong Huang
Chao Huang
55
19
0
23 Feb 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
60
7
0
27 Dec 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility
  Simulation
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang
Tongya Zheng
Shunyu Liu
Zunlei Feng
Kaixuan Chen
Yunzhi Hao
Min-Gyoo Song
31
7
0
15 Jun 2023
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
918
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,085
0
13 Feb 2020
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
153
0
23 Jul 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
1