Revisiting Link Prediction: A Data Perspective

1 October 2023

Papers citing "Revisiting Link Prediction: A Data Perspective"

22 / 22 papers shown

Title
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Zongyue Qin Shichang Zhang Mingxuan Ju Tong Zhao Neil Shah Yizhou Sun 23 0 0 08 Apr 2025
Mixture of Link Predictors on Graphs Li Ma Haoyu Han Juanhui Li Harry Shomer Hui Liu Xiaofeng Gao Jiliang Tang 71 6 0 03 Jan 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 74 1 0 29 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xuben Wang Muhan Zhang 36 1 0 06 Nov 2024
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 35 3 0 26 Sep 2024
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs Shenyang Huang Farimah Poursafaei Reihaneh Rabbany Guillaume Rabusseau Emanuele Rossi 32 3 0 17 Jul 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 67 42 0 26 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 53 4 0 19 Jun 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction Xiaohui Zhang Yanbo Wang Xiyuan Wang Muhan Zhang 34 1 0 12 Jun 2024
LinkGPT: Teaching Large Language Models To Predict Missing Links Zhongmou He Jing Zhu Shengyi Qian Joyce Chai Danai Koutra LRM 39 1 0 07 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 50 3 0 04 Jun 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu Dawei Yin Qing Li AI4CE 33 23 0 23 Apr 2024
Universal Link Predictor By In-Context Learning on Graphs Kaiwen Dong Haitao Mao Zhichun Guo Nitesh V. Chawla 23 4 0 12 Feb 2024
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 61 26 0 03 Feb 2024
LPFormer: An Adaptive Graph Transformer for Link Prediction Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang 38 7 0 17 Oct 2023
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan A. Rossi Namyong Park Puja Trivedi Yu-Chiang Frank Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 33 9 0 08 Jul 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 76 50 0 18 Jun 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 66 8 0 06 Mar 2023
Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong Yixin Chen Muhan Zhang GNN AI4CE 124 21 0 06 Oct 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 46 77 0 30 Sep 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 75 37 0 30 May 2022
Source Free Unsupervised Graph Domain Adaptation Haitao Mao Lun Du Yujia Zheng Qiang Fu Zelin Li Xu Chen Shi Han Dongmei Zhang 21 7 0 02 Dec 2021