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Beyond Observed Connections : Link Injection [article]

Jie Bu, M. Maruf, Arka Daw
2020 arXiv   pre-print
In this paper, we proposed the link injection, a novel method that helps any differentiable graph machine learning models to go beyond observed connections from the input data in an end-to-end learning  ...  We evaluate our method on both node classification and link prediction tasks using a series of state-of-the-art graph convolution networks.  ...  Table 4 compares the accuracy, precision and recall for link prediction for the different baselines on the Cora dataset.  ... 
arXiv:2009.04447v1 fatcat:gknixz5tvnbvhgimg4pjbourhi

Structural Novelty and Diversity in Link Prediction

Javier Sanz-Cruzado, Sofía M. Pepa, Pablo Castells
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
Link prediction has mainly been addressed as an accuracy-targeting problem in the social networks field.  ...  We consider further utility dimensions beyond prediction accuracy, namely novelty and diversity.  ...  the prediction algorithms) with which the accuracy of link prediction is evaluated.  ... 
doi:10.1145/3184558.3191576 dblp:conf/www/Sanz-CruzadoPC18 fatcat:ngvi2y6ysvgthkokupzs2t3zbi

Exploiting longer cycles for link prediction in signed networks

Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
We consider the problem of link prediction in signed networks.  ...  We see that our supervised method not only achieves good accuracy for sign prediction but is also especially effective in lowering the false positive rate.  ...  In particular, signed link prediction has connections to social balance theory while no such connection exists for the standard (unsigned) link prediction task.  ... 
doi:10.1145/2063576.2063742 dblp:conf/cikm/ChiangNTD11 fatcat:2n6lmwklt5gklc6pqpjslq7xoi

Individual risk prediction using data beyond the medical clinic

Robert M. Califf, Frank E. Harrell
2018 CMAJ - Canadian Medical Association Journal  
An important element of the linked research is an in-depth analy sis of the operating characteristics of the predictive model.  ...  In linked research, Manuel and colleagues advance the field by showing that information from population surveys can produce estimates of cardiovascular disease risk of comparable accuracy to estimates  ...  In linked research, Manuel and colleagues advance the field by showing that information from population surveys can produce estimates of cardiovascular disease risk of comparable accuracy to estimates  ... 
doi:10.1503/cmaj.180967 pmid:30104187 pmcid:PMC6089946 fatcat:as5lej4i7vhtpcxkhpnahabfim

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction [article]

Tara Safavi, Danai Koutra, Edgar Meij
2020 arXiv   pre-print
We first conduct an evaluation under the standard closed-world assumption (CWA), in which predicted triples not already in the knowledge graph are considered false, and show that existing calibration techniques  ...  Next, we introduce the more realistic but challenging open-world assumption (OWA), in which unobserved predictions are not considered true or false until ground-truth labels are obtained.  ...  Table 3 also compares link prediction accuracy before and after calibration.  ... 
arXiv:2004.01168v3 fatcat:csjkv5z6dnc2rjmif3f6wmfimy

Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements [article]

Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb
2021 arXiv   pre-print
In addition, searching for an alternative base station to re-establish the link could result in needless latency overhead.  ...  Millimeter wave (mmWave) communication is a key component of 5G and beyond.  ...  The prediction accuracy is good until the prediction interval goes beyond 15 time instances.  ... 
arXiv:2101.06886v3 fatcat:kzigfbqlpnc63e545y2xq3kzbm

Personalized Prediction of Trust Links in Social Networks (Student Abstract)

Alexandre Parmentier, Robin Cohen
In this paper we show how integrating both domain specific and generic trust indicators into a prediction of trust links between users in social networks can improve upon methods for recommending content  ...  We tested prediction accuracy in a number of experiments, only varying which set of trust links the recommender system was given.  ...  Conclusion In this work we showed that personalized prediction of trust links between users on a social network leads to enhanced prediction accuracy in a trust-aware recommendation context.  ... 
doi:10.1609/aaai.v34i10.7218 fatcat:7lxutssm7zcslnyqnthcbijl2i

When Wireless Communications Meet Computer Vision in Beyond 5G [article]

Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler
2020 arXiv   pre-print
In particular, we demonstrate how computer vision enables look-ahead prediction in a millimeter-wave channel blockage scenario, before the blockage actually happens.  ...  This article articulates the emerging paradigm, sitting at the confluence of computer vision and wireless communication, to enable beyond-5G/6G mission-critical applications (autonomous/remote-controlled  ...  higher prediction accuracy than the prediction using either one (Img and RF).  ... 
arXiv:2010.06188v1 fatcat:jyxrdnnjyfhb3dzumcordkdfte

CisMapper: predicting regulatory interactions from transcription factor ChIP-seq data

Timothy O'Connor, Mikael Bodén, Timothy L. Bailey
2016 Nucleic Acids Research  
The current method of choice predicts transcription factor (TF) binding sites using chromatin immunoprecipitation followed by sequencing (ChIP-seq), and then links the binding sites to putative target  ...  CISMAPPER also predicts which TF binding sites regulate a given gene more accurately than using genomic distance.  ...  In this experiment, prediction accuracy for links predicted using a CISMAPPER score threshold of 0.01 drops below 10% (see Supplementary Figure S5 ) for the subset of links with lengths in the range 450  ... 
doi:10.1093/nar/gkw956 pmid:28204599 pmcid:PMC5389714 fatcat:nmklcalg55fizj5duzqpkja3n4

IP Network Topology Link Prediction Based on Improved Local Information Similarity Algorithm

Chen Yu, Duan Zhemin
2012 International Journal of Grid and Distributed Computing  
This article confirmed the link prediction method based on local information similarity algorithm can be effectively applied in the IP network unknown link prediction.  ...  combining the degree value index of AA can get more higher prediction accuracy about 0.97.  ...  In this article, we use the AUC index to valid the accuracy of predicting link.  ... 
doi:10.14257/ijgdc.2015.8.6.14 fatcat:5levlmvh75d7fmk6fr2ys3p4ue

Performance Evaluation of Empirical Path Loss Models for a Linear Wireless Sensor Network Deployment in Suburban and Rural Environments

Yaser Dalveren, Atilim University, Department of Avionics, Ankara, Turkey, Ali Kara, Atilim University, Department of Electrical and Electronics Engineering, Ankara, Turkey
2020 Hittite Journal of Science & Engineering  
In rural link, it is worth noting that the PRR substantially reduced beyond the measurement point at 4.7 km (above 95%).  ...  From the figures, it is clear that the COST-231 Hata model has the worst prediction accuracy in both rural and suburban link.  ... 
doi:10.17350/hjse19030000200 fatcat:irgllfudjff65ny3fjacdf6rc4

Grading Evidence for Laboratory Test Studies Beyond Diagnostic Accuracy: Application to Prognostic Testing

Andrew C Don-Wauchope, Pasqualina L Santaguida
2015 EJIFCC  
Some strengths and limitations of the GRADE process in relation to clinical laboratory testing are presented.  ...  The Grading of Recommendations Assessment, Development and Evaluation (GRADE) project has addressed diagnostic test use in many of their publications.  ...  Santaguida Grading evidence for laboratory test studies beyond diagnostic accuracy: application to prognostic testing under estimation of the predictive strength) or have no effect at all (15) .  ... 
pmid:27683492 pmcid:PMC4975301 fatcat:4zvbcpu63za6zezfn6hv3vqzui

Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network

Xiaolei Ru, Xiangdong Xu, Yang Zhou, Chao Yang
2020 Journal of Advanced Transportation  
Predicting traffic operational condition is crucial to urban transportation planning and management. A large variety of algorithms were proposed to improve the prediction accuracy.  ...  accuracy.  ...  accuracy on only one segment is beyond 2% (Figure 8(b) ) when the number continues to increase to three. e digit beside segments in the figure is the reduction of prediction error (MAPE).  ... 
doi:10.1155/2020/8845804 fatcat:eghjyxeyqnhjnord2x5cr4fkzy

Research and Application of Network Router Link Prediction Method

2016 International Journal of Hybrid Information Technology  
In this paper, by using the link prediction algorithm based on the similarity, we tried to predict the links' connection relationship and got the possible network topology structure among the network'  ...  which prove the similarity index especially the random walk algorithm can realize the higher link prediction accuracy to the network' ASes under the conditions of missing some known connection link, etc  ...  the link prediction accuracy.  ... 
doi:10.14257/ijhit.2016.9.2.30 fatcat:w6s5wo5ah5gtxefq44peonf7tu

Motif Prediction with Graph Neural Networks [article]

Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2021 arXiv   pre-print
Link prediction is one of the central problems in graph mining.  ...  Finally, for highest accuracy, we develop a graph neural network (GNN) architecture for motif prediction.  ...  SEAM's high accuracy with predicting such structures illustrates its potential for broader graph mining beyond motif analysis.  ... 
arXiv:2106.00761v3 fatcat:rxabjqyqzbfetcirdzgejell2u
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