Alexandru Mara

18 papers A 1B 1Misc 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	JobHop: A Large-Scale Dataset of Career Trajectories. CoRR Iman Johary, Raphaël Romero, Alexandru Mara, Tijl De Bie
2022	J	`jnl`	A Systematic Evaluation of Node Embedding Robustness. CoRR Alexandru Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie
2022	J	`jnl`	EvalNE: A framework for network embedding evaluation. SoftwareX Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2020	B	`conf`	Block-Approximated Exponential Random Graphs. DSAA Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2020	A	`conf`	CSNE: Conditional Signed Network Embedding. CIKM Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
2020	J	`jnl`	CSNE: Conditional Signed Network Embedding. CoRR Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
2020	J	`jnl`	Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? CoRR Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2020	J	`jnl`	Scalable Dyadic Independence Models with Local and Global Constraints. CoRR Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2019	—	`conf`	EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. RML@ICLR Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2019	—	`conf`	EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. EDML@SDM Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2019	J	`jnl`	EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. CoRR Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
2019	J	`jnl`	Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization. IEEE Trans. Signal Process. Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar
2019	J	`jnl`	Semi-supervised Learning in Network-Structured Data via Total Variation Minimization. CoRR Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar
2017	J	`jnl`	Recovery Conditions and Sampling Strategies for Network Lasso. CoRR Alexandru Mara, Alexander Jung
2017	Misc	`conf`	Recovery conditions and sampling strategies for network Lasso. ACSSC Alexandru Mara, Alexander Jung
2017	J	`jnl`	When Is Network Lasso Accurate? Frontiers Appl. Math. Stat. Alexander Jung, Nguyen Tran Quang, Alexandru Mara
2016	J	`jnl`	Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. CoRR Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi
2015	—	`conf`	CLUS: Parallel Subspace Clustering Algorithm on Spark. ADBIS (Short Papers and Workshops) Bo Zhu, Alexandru Mara, Alberto Mozo