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GSLB: The Graph Structure Learning Benchmark

GSLB: The Graph Structure Learning Benchmark

8 October 2023
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
Dingshuo Chen
Yingtao Luo
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
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Papers citing "GSLB: The Graph Structure Learning Benchmark"

30 / 30 papers shown
Title
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang
Yuwen Wang
Kaixuan Chen
Tongya Zheng
Yihe Zhou
Zhenbang Xiao
Ji Cao
Mingli Song
S. Liu
AI4CE
39
0
0
01 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
64
0
0
29 Apr 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
63
0
0
15 Mar 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
46
4
0
23 Feb 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Liang Wang
Shaozhen Liu
Yu Rong
Deli Zhao
Qiang Liu
Shu Wu
Liang Wang
MedIm
55
1
0
22 Feb 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
C. L. P. Chen
C. Wang
38
1
0
20 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
J. Li
47
3
0
18 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang
Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
90
1
0
04 Feb 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
3DV
63
7
0
21 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Y. Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
57
0
0
03 Jan 2025
S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive
  Knowledge Graph Completion
S2^22DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma
Yujie Chen
Liang Wang
Xuan Lin
Bosheng Song
Xiangxiang Zeng
62
0
0
20 Dec 2024
Bi-Level Graph Structure Learning for Next POI Recommendation
Bi-Level Graph Structure Learning for Next POI Recommendation
Liang Wang
Shu Wu
Qiang Liu
Y. X. Zhu
Xiang Tao
M. Zhang
Liang Wang
25
5
0
02 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular
  Property Prediction
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
31
0
0
02 Nov 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural
  Networks
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
Yuntian He
Pranav Maneriker
Anutam Srinivasan
Aditya T. Vadlamani
Srinivasan Parthasarathy
28
0
0
28 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via
  Prototypical Graph Pruning
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
Guibin Zhang
Haonan Dong
Yuchen Zhang
Zhixun Li
Dingshuo Chen
Kai Wang
Tianlong Chen
Yuxuan Liang
Dawei Cheng
Kun Wang
24
2
0
17 Oct 2024
Neuro-Symbolic Entity Alignment via Variational Inference
Neuro-Symbolic Entity Alignment via Variational Inference
Shengyuan Chen
Qinggang Zhang
Junnan Dong
Wen Hua
Jiannong Cao
Xiao Huang
16
4
0
05 Oct 2024
Cut the Crap: An Economical Communication Pipeline for LLM-based
  Multi-Agent Systems
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
Guibin Zhang
Yanwei Yue
Zhixun Li
Sukwon Yun
Guancheng Wan
Kun Wang
Dawei Cheng
Jeffrey Xu Yu
Tianlong Chen
32
3
0
03 Oct 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph
  Structure Learning
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
Zhixiang Shen
Shuo Wang
Zhao Kang
18
2
0
25 Sep 2024
Rethinking Fair Graph Neural Networks from Re-balancing
Rethinking Fair Graph Neural Networks from Re-balancing
Zhixun Li
Yushun Dong
Qiang Liu
Jeffrey Xu Yu
16
7
0
16 Jul 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
Yuhan Li
Peisong Wang
Xiao Zhu
Aochuan Chen
Haiyun Jiang
Deng Cai
Victor Wai Kin Chan
Jia Li
43
11
0
10 Jul 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and
  Generalizability
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Pengyun Wang
Junyu Luo
Yanxin Shen
Siyu Heng
Xiao Luo
39
1
0
13 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification
Motif-driven Subgraph Structure Learning for Graph Classification
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Jiawei Chen
Qingyun Sun
Yan Feng
Chun-Yen Chen
Can Wang
33
1
0
13 Jun 2024
ProG: A Graph Prompt Learning Benchmark
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
32
9
0
08 Jun 2024
Entity Alignment with Noisy Annotations from Large Language Models
Entity Alignment with Noisy Annotations from Large Language Models
Shengyuan Chen
Qinggang Zhang
Junnan Dong
Wen Hua
Qing Li
Xiao Huang
31
9
0
27 May 2024
Graph Sparsification via Mixture of Graphs
Graph Sparsification via Mixture of Graphs
Guibin Zhang
Xiangguo Sun
Yanwei Yue
Kun Wang
Tianlong Chen
Shirui Pan
21
8
0
23 May 2024
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation
  Extraction
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
Urchade Zaratiana
Nadi Tomeh
Niama El Khbir
Pierre Holat
Thierry Charnois
28
1
0
18 Apr 2024
The Devil is in the Conflict: Disentangled Information Graph Neural
  Networks for Fraud Detection
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
Zhixun Li
Dingshuo Chen
Qiang Liu
Shu Wu
AAML
21
15
0
22 Oct 2022
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
52
181
0
19 Apr 2021
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
167
1,058
0
13 Feb 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
182
731
0
03 Sep 2019
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