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https://openreview.net/forum?id=TAwB7FsoJt Linkless Link Prediction via Relational Distillation | OpenReview Graph Neural Networks (GNNs) have shown exceptional performance in the task of link prediction. Despite their effectiveness, the high latency brought by... link prediction via relational distillation openreview https://openreview.net/forum?id=CCu6RcUMwK0 Neural Link Prediction with Walk Pooling | OpenReview Graph neural networks achieve high accuracy in link prediction by jointly leveraging graph topology and node attributes. Topology, however, is represented... neural link prediction walk pooling openreview https://openreview.net/forum?id=VSz9na5Jtl PageRank Bandits for Link Prediction | OpenReview Link prediction is a critical problem in graph learning with broad applications such as recommender systems and knowledge graph completion. Numerous research... link prediction pagerank bandits openreview https://deepai.org/publication/scalable-link-prediction-in-dynamic-networks-via-non-negative-matrix-factorization Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization | DeepAI Nov 13, 2014 - 11/13/14 - We propose a scalable temporal latent space model for link prediction in dynamic social networks, where the goal is to predict lin... non negative matrix link prediction dynamic networks https://www.muni.cz/en/research/publications/2368109 Identification of Device Dependencies Using Link Prediction | Masaryk University | MUNI link prediction masaryk university identification device dependencies https://openreview.net/forum?id=EmDuoySsbe GENIE: Watermarking Graph Neural Networks for Link Prediction | OpenReview The rapid adoption, usefulness, and resource-intensive training of Graph Neural Network~(GNN) models have made them an invaluable intellectual property in... graph neural networks link prediction genie watermarking openreview https://openreview.net/forum?id=8Ur2xmuw7w Revisiting Link Prediction: a data perspective | OpenReview Link prediction, a fundamental task on graphs, has proven indispensable in various applications, e.g., friend recommendation, protein analysis, and drug... link prediction a data revisiting perspective openreview https://openreview.net/forum?id=Xa3dVaolKo Pure Message Passing Can Estimate Common Neighbor for Link Prediction | OpenReview message passing link prediction pure estimate https://easychair.org/publications/preprint/7djw Link Prediction in Disease-Disease Interactions Network Using a Hybrid Deep Learning Model link prediction https://neo4j.com/developer/industry-use-cases/whitepapers/finserv/asset-management/enhancing-portfolio-diversification-link-prediction/ Enhancing Portfolio Diversification with Link Prediction: A Graph Data Science Approach - Neo4j... Enhancing Portfolio Diversification with Link Prediction: A Graph Data Science Approach - Neo4j Industry Use Cases portfolio diversification with link https://aclanthology.org/2022.acl-srw.27/ MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question... Viktoriia Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko. Proceedings of the 60th Annual Meeting of the Association for... link prediction memory efficient knowledge embedding https://openreview.net/forum?id=sNFLN3itAd Neural Common Neighbor with Completion for Link Prediction | OpenReview In this work, we propose a novel link prediction model and further boost it by studying graph incompleteness. First, We introduce MPNN-then-SF, an innovative... link prediction neural common neighbor completion https://www.mdpi.com/1424-8220/20/22/6560 Seven-Layer Model in Complex Networks Link Prediction: A Survey Link prediction is the most basic and essential problem in complex networks. This study analyzes the observed topological, time, attributive, label, weight,... seven layer model complex networks link prediction survey https://arxiv.org/abs/2002.00819 [2002.00819] Knowledge Graph Embedding for Link Prediction: A Comparative Analysis Abstract page for arXiv paper 2002.00819: Knowledge Graph Embedding for Link Prediction: A Comparative Analysis knowledge graph embedding link prediction 2002 00819 https://openreview.net/forum?id=DRrSYKNhD1 Inductive Link Prediction in Static and Temporal Graphs for Isolated Nodes | OpenReview Link prediction is a vital task in graph machine learning, involving the anticipation of connections between entities within a network. In the realm of drug... inductive link prediction https://openreview.net/forum?id=Hkg7rbcp67 Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications |... Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data. Existing approaches, however,... link prediction investigating robustness interpretability via https://arxiv.org/abs/1912.09867 [1912.09867] Meta-Graph: Few Shot Link Prediction via Meta Learning Abstract page for arXiv paper 1912.09867: Meta-Graph: Few Shot Link Prediction via Meta Learning few shot link prediction 1912 meta graph https://openreview.net/forum?id=D7PiCkdiqN Federated Link Prediction on Dynamic Graphs | OpenReview Link prediction on dynamic, large-scale graphs is widely used in applications such as forecasting customer visits or predicting purchases. However, graph data... link prediction dynamic graphs federated openreview https://openreview.net/forum?id=K9zedJlybd Implicit degree bias in the link prediction task | OpenReview Link prediction---a task of distinguishing actual hidden edges from random unconnected node pairs---is one of the quintessential tasks in graph machine... in the link prediction implicit degree bias https://arxiv.org/abs/1802.09691 [1802.09691] Link Prediction Based on Graph Neural Networks Abstract page for arXiv paper 1802.09691: Link Prediction Based on Graph Neural Networks link prediction 1802 based graph neural https://aclanthology.org/2021.findings-acl.35/ Link Prediction on N-ary Relational Facts: A Graph-based Approach - ACL Anthology Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021. https://openreview.net/forum?id=FBjVSPAsgs Stochastic Block Model-Aware Topological Neural Networks for Graph Link Prediction | OpenReview Link prediction is an important learning task for graph-structured data and is indispensable to understanding graphs' properties. Recent works focus on... stochastic block model neural networks https://www.amazon.science/publications/page-link-path-based-graph-neural-network-explanation-for-heterogeneous-link-prediction PaGE-Link: Path-based graph neural network explanation for heterogeneous link prediction - Amazon... Transparency and accountability have become major concerns for black-box machine learning (ML) models. Proper explanations for the model behavior increase... graph neural network page link https://www.nbcsports.com/soccer/news/how-to-watch-fulham-vs-bournemouth-live-stream-link-tv-channel-latest-team-news-prediction How to watch Fulham vs Bournemouth live: Stream link, TV channel, latest team news, prediction -... May 9, 2026 - Bournemouth look to keep hold of pole position in the race for sixth place when they visit still-hopeful Fulham on Saturday at Craven Cottage.