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Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking
v1v2v3 (latest)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

18 June 2023
Juanhui Li
Harry Shomer
Haitao Mao
Shenglai Zeng
Yao Ma
Neil Shah
Jiliang Tang
D. Yin
ArXiv (abs)PDFHTMLGithub (54★)

Papers citing "Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking"

31 / 31 papers shown
Title
BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions
BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions
Saptarshi Sengupta
Shuhua Yang
Paul Kwong Yu
Fali Wang
Suhang Wang
61
0
0
06 Jun 2025
MatMMFuse: Multi-Modal Fusion model for Material Property Prediction
MatMMFuse: Multi-Modal Fusion model for Material Property Prediction
Abhiroop Bhattacharya
Sylvain G. Cloutier
AI4CE
62
0
0
30 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Zongyue Qin
Shichang Zhang
Mingxuan Ju
Tong Zhao
Neil Shah
Yizhou Sun
56
0
0
08 Apr 2025
Mixture of Link Predictors on Graphs
Mixture of Link Predictors on Graphs
Li Ma
Haoyu Han
Juanhui Li
Harry Shomer
Hui Liu
Xiaofeng Gao
Jiliang Tang
150
0
0
03 Jan 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
João Mattos
Zexi Huang
Mert Kosan
Ambuj Singh
A. Silva
160
1
0
29 Nov 2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs
Yachao Yang
Yanfeng Sun
Jipeng Guo
Junbin Gao
Shaofan Wang
Fujiao Ju
Baocai Yin
127
0
0
18 Nov 2024
Reconsidering the Performance of GAE in Link Prediction
Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma
Yanbo Wang
Xiang Wang
Muhan Zhang
97
1
0
06 Nov 2024
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
Hao Miao
Zida Liu
Jun Gao
81
0
0
07 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks
  through LLM-Initiated Node Features
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
Gilchan Park
Paul Baity
Byung-Jun Yoon
Adolfy Hoisie
113
0
0
05 Oct 2024
PROXI: Challenging the GNNs for Link Prediction
PROXI: Challenging the GNNs for Link Prediction
Astrit Tola
Jack Myrick
Baris Coskunuzer
90
0
0
02 Oct 2024
On the Impact of Feature Heterophily on Link Prediction with Graph
  Neural Networks
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
Jiong Zhu
Gaotang Li
Yao-An Yang
Jing Zhu
Xuehao Cui
Danai Koutra
77
4
0
26 Sep 2024
Promoting Fairness in Link Prediction with Graph Enhancement
Promoting Fairness in Link Prediction with Graph Enhancement
Yezi Liu
Hanning Chen
Mohsen Imani
78
3
0
13 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
65
0
0
13 Sep 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
Roman Bresson
Giannis Nikolentzos
G. Panagopoulos
Michail Chatzianastasis
Jun Pang
Michalis Vazirgiannis
184
52
0
26 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
106
18
0
15 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on
  Effectiveness and Efficiency
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
Ningyi Liao
Haoyu Liu
Zulun Zhu
Siqiang Luo
L. Lakshmanan
110
2
0
14 Jun 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Xiaohui Zhang
Yanbo Wang
Xiyuan Wang
Muhan Zhang
78
6
0
12 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina
Ankit Gangwal
Aaryan Ajay Sharma
Charu Sharma
150
2
0
07 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Wenzhuo Tang
Haitao Mao
Danial Dervovic
Ivan Brugere
Saumitra Mishra
Yuying Xie
Jiliang Tang
79
3
0
04 Jun 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph
  Representation Learning
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Zhuo Xu
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Edwin R. Hancock
GNN
79
1
0
23 May 2024
A unifying primary framework for quantum graph neural networks from
  quantum graph states
A unifying primary framework for quantum graph neural networks from quantum graph states
Ammar Daskin
GNN
87
1
0
20 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths
Masked Graph Autoencoder with Non-discrete Bandwidths
Zi-qiang Zhao
Yuhua Li
Yixiong Zou
Jiliang Tang
Ruixuan Li
86
12
0
06 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
155
44
0
03 Feb 2024
Learning Scalable Structural Representations for Link Prediction with
  Bloom Signatures
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
Tianyi Zhang
Haoteng Yin
Rongzhe Wei
Pan Li
Anshumali Shrivastava
AI4CE
63
1
0
28 Dec 2023
LPFormer: An Adaptive Graph Transformer for Link Prediction
LPFormer: An Adaptive Graph Transformer for Link Prediction
Harry Shomer
Yao Ma
Haitao Mao
Juanhui Li
Bo Wu
Jiliang Tang
113
8
0
17 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction
  Performance
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
Yu Wang
Tong Zhao
Yuying Zhao
Yunchao Liu
Xueqi Cheng
Neil Shah
Hanyu Wang
83
10
0
06 Oct 2023
Revisiting Link Prediction: A Data Perspective
Revisiting Link Prediction: A Data Perspective
Haitao Mao
Juanhui Li
Harry Shomer
Bingheng Li
Wenqi Fan
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
118
30
0
01 Oct 2023
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
117
8
0
02 Sep 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
118
36
0
02 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
645
958
0
02 Mar 2020
A Re-evaluation of Knowledge Graph Completion Methods
A Re-evaluation of Knowledge Graph Completion Methods
Zhiqing Sun
Shikhar Vashishth
Soumya Sanyal
Partha P. Talukdar
Yiming Yang
92
170
0
10 Nov 2019
1