Link Prediction Without Learning

S Delarue, T Bonald, T Viard - European Conference on Artificial …, 2024 - hal.science
… and propose to solve link prediction tasks by enhancing … GNNs may not be required for
link prediction tasks, and that … We introduce a non-neural baseline model for link prediction

Link prediction based on graph neural networks

M Zhang, Y Chen - Advances in neural information …, 2018 - proceedings.neurips.cc
… It is also interesting that compared to SEAL without node2vec embeddings (Table 1), joint
learning does not always improve the performance. More experiments and discussion are …

A deep learning approach to link prediction in dynamic networks

X Li, N Du, H Li, K Li, J Gao, A Zhang - Proceedings of the 2014 SIAM …, 2014 - SIAM
… in exponential family for link prediction in dynamic networks. The … prediction phase to O(n)
without reducing model capacity. … – ctRBM for dynamic link prediction. The proposed model suc…

Link prediction with non-contrastive learning

W Shiao, Z Guo, T Zhao, EE Papalexakis, Y Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
… To emulate the effect of negative sampling without actually performing it, we propose
Triplet-BGRL (T-BGRL). In addition to the two augmentations performed during standard non-…

[PDF][PDF] Link prediction using supervised learning

M Al Hasan, V Chaoji, S Salem, M Zaki - SDM06: workshop on link …, 2006 - cs.rpi.edu
Link prediction is a key research direction within this area. In this paper, we study link prediction
as a supervised learning … to the performance under the supervised learning setup. The …

Learning spectral graph transformations for link prediction

J Kunegis, A Lommatzsch - … Conference on Machine Learning, 2009 - dl.acm.org
… We present a unified framework for learning link prediction and … We show how the parameters
of these prediction functions can … can be made about them without having to evaluate each …

New perspectives and methods in link prediction

RN Lichtenwalter, JT Lussier, NV Chawla - Proceedings of the 16th ACM …, 2010 - dl.acm.org
… of class imbalance specific to the task of link prediction. … vised learning, we cast link
prediction as a problem in class … methods, but that we do so without using them as features, we …

Coupledlp: Link prediction in coupled networks

Y Dong, J Zhang, J Tang, NV Chawla… - Proceedings of the 21th …, 2015 - dl.acm.org
… Permission to make digital or hard copies of all or part of this work for personal or classroom
use is granted withoutLink prediction using supervised learning. In SDM’06 workshop on …

Learning to extrapolate knowledge: Transductive few-shot out-of-graph link prediction

J Baek, DB Lee, SJ Hwang - Advances in neural information …, 2020 - proceedings.neurips.cc
… framework that embeds unseen entities without additional re-training, we compare GENs
against models trained from scratch including unseen entities, for 3-shot OOG …

A survey of link prediction in complex networks

V Martínez, F Berzal, JC Cubero - ACM computing surveys (CSUR), 2016 - dl.acm.org
… Permission to make digital or hard copies of part or all of this work for personal or classroom
use is granted without fee provided that copies are not made or distributed for profit or …