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ORCIDAlexandru Mara
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2020 – today
- 2022
[j3]Alexandru Mara
, Jefrey Lijffijt, Tijl De Bie:
EvalNE: A framework for network embedding evaluation. SoftwareX 17: 100997 (2022)- [c8]Alexandru Cristian Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie:
A Systematic Evaluation of Node Embedding Robustness. LoG 2022: 42 - [i8]Alexandru Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie:
A Systematic Evaluation of Node Embedding Robustness. CoRR abs/2209.08064 (2022) - 2020
- [c7]Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie:
CSNE: Conditional Signed Network Embedding. CIKM 2020: 1105-1114 - [c6]Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
Block-Approximated Exponential Random Graphs. DSAA 2020: 70-80 - [c5]Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie:
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? DSAA 2020: 138-147 - [i7]Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
Scalable Dyadic Independence Models with Local and Global Constraints. CoRR abs/2002.07076 (2020) - [i6]Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? CoRR abs/2002.11522 (2020) - [i5]Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie:
CSNE: Conditional Signed Network Embedding. CoRR abs/2005.10701 (2020)
2010 – 2019
- 2019
- [j2]Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar:
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization. IEEE Trans. Signal Process. 67(24): 6256-6269 (2019) - [c4]Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. RML@ICLR 2019 - [c3]Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. EDML@SDM 2019: 5-13 - [i4]Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. CoRR abs/1901.09691 (2019) - [i3]Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar:
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization. CoRR abs/1901.09838 (2019) - 2017
- [j1]Alexander Jung, Nguyen Tran Quang, Alexandru Mara:
When Is Network Lasso Accurate? Frontiers Appl. Math. Stat. 3: 28 (2017) - [c2]Alexandru Mara, Alexander Jung:
Recovery conditions and sampling strategies for network Lasso. ACSSC 2017: 405-409 - [i2]Alexandru Mara, Alexander Jung:
Recovery Conditions and Sampling Strategies for Network Lasso. CoRR abs/1709.01402 (2017) - 2016
- [i1]Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi:
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. CoRR abs/1611.00714 (2016) - 2015
- [c1]Bo Zhu, Alexandru Mara, Alberto Mozo:
CLUS: Parallel Subspace Clustering Algorithm on Spark. ADBIS (Short Papers and Workshops) 2015: 175-185
Coauthor Index
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