Leskovec, Jurij, računalničar
Leskovec, Jure.
Leskovec, Jurij
Leskovec, Jure 1980-
Leskovec, Jurij, 1980-
Jure Leskovec Slovene computer scientist
VIAF ID: 160747014 ( Personal )
Permalink: http://viaf.org/viaf/160747014
Preferred Forms
- 100 0 _ ‡a Jure Leskovec ‡c Slovene computer scientist
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- 100 1 _ ‡a Leskovec, Jure
- 100 1 _ ‡a Leskovec, Jure
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- 100 1 _ ‡a Leskovec, Jure ‡d 1980-
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- 100 1 _ ‡a Leskovec, Jurij
- 100 1 _ ‡a Leskovec, Jurij
- 100 1 _ ‡a Leskovec, Jurij, ‡c računalničar
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4xx's: Alternate Name Forms (11)
5xx's: Related Names (1)
Works
Title | Sources |
---|---|
Bik deiteo maining | |
Bilten | |
Defining and evaluating network communities based on ground-truth | |
The dynamics of viral marketing | |
F-FADE frequency factorization for anomaly detection in edge streams | |
Forcenet a Graph Neural Network for large-scale quantum calculations | |
Inferring networks of diffusion and influence | |
ItemSage: learning product embeddings for shopping recommendations at Pinterest | |
LinkBERT pretraining language models with document links | |
M2P2: multimodal persuasion prediction using adaptive fusion | |
Meme-tracking and the dynamics of the news cycle | |
Mining large graphs laws and tools : tutorial notes, September 21, 2007 Warsaw, Poland | |
Mining of massive datasets | |
Modeliranje omrežij s pomožnimi informacijami. | |
Multi-hop attention graph neural networks | |
Multiplicative attribute graph model of real-world networks | |
Network inference via the time-varying graphical lasso | |
Neural distance embeddings for biological sequences | |
OCEAN online task inference for compositional tasks with context adaptation | |
OGB-LSC a large-scale challenge for machine learning on graphs | |
Orodje za analizo omrežij večjega naročila. | |
Patterns of influence in a recommendation network | |
Patterns of temporal variation in online media | |
PinnerFormer: sequence modeling for user representation at Pinterest | |
Pixie a system for recommending 3+ billion items to 200+ million users in real-time | |
Planetary-scale views on a large instant-messaging network | |
Postmortem memory of public figures in news and social media | |
Povej mi, kaj všečkaš, in povem ti, kdo si! : raziskovanje družbenih omrežij postaja resna znanstvena disciplina : oddaja Frekvenca X, Radio Slovenija, Val 202, 19. 1. 2017 | |
Predicting intent using activity logs : how goal specificity and temporal range affect user behavior | |
Predicting multicellular function through multi-layer tissue networks | |
Predicting pregnancy using large-scale data from a women's health tracking mobile application | |
Predicting the visual focus of attention in multi-person discussion videos | |
Priporočilni sistemi o socialnih omrežjih. | |
Prof. dr. Jure Leskovec : raziskovalec omrežij | |
QA-GNN: reasoning with language models and knowledge graphs for question answering | |
Query2box : reasoning over knowledge graphs in vector space using box embeddings | |
QUOTUS : the structure of political media coverage as revealed by quoting patterns | |
Radius plots for mining tera-byte scale graphs algorithms, patterns, and observations | |
Razdrobljenost financiranja znanosti | |
Razumevanje človeškega vedenja z uporabo interakcij s spletno vsebino. | |
Relational multi-task learning modeling relations between data and tasks | |
Representation learning on graphs : methods and applications | |
Reputation and incentives in online social systems : [doctoral dissertation] | |
Ringo interactive graph analytics on big-memory machines | |
ROLAND: graph learning framework for dynamic graphs | |
Scalable modeling of real graphs using Kronecker multiplication | |
SEISMIC : a self-exciting point process model for predicting tweet popularity | |
Selection via proxy : efficient data selection for deep learning | |
The selective labels problem : evaluating algorithmic predictions in the presence of unobservables | |
SMORE: knowledge graph completion and multi-hop reasoning in massive knowledge graphs | |
SNAP : a general-purpose network analysis and graph-mining library | |
SnapVX : a network-based convex optimization solver | |
Statistical properties of community structure in large social and information networks | |
Steering user behavior with badges | |
Strategies for pre-training graph neural networks | |
Struktura skupnosti velikih omrežij. | |
Sumarizacija besedil s pretvorbo v semantično mrežo : diplomska naloga | |
Supervised random walks: predicting and recommending links in social networks | |
Supporting COVID-19 policy response with large-scale mobility-based modeling | |
TEDIC: neural modeling of behavioral patterns in dynamic social interaction networks | |
Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons | |
Tensor spectral clustering for partitioning higher-order network structures | |
To embed or not network embedding as a paradigm in computational biology | |
Toeplitz inverse covariance-based clustering of multivariate time series data | |
Tools for higher-order network analysis : [doctoral dissertation] | |
Ugled in spodbude v spletnih socialnih sistemih. | |
Uncovering the structure and temporal dynamics of information propagation | |
Understanding human behavior using interactions with online content : [doctoral dissertation] | |
Understanding online collection growth over time : a case study of pinterest | |
Vertex embeddings in linear space complexity | |
Visualizing information networks : the 2011 Fukushima earthquake | |
Vložitev vozlišč omrežja v linearni prostorski zahtevnosti : delo je pripravljeno v skladu s Pravilnikom o podeljevanju Prešernovih nagrad študentom, pod mentorstvom prof. dr. Janeza Demšarja in somentorstvom doc. dr. Jureta Leskovca | |
Vložitev vozlišč omrežja v linearni prostorski zahtevnosti : diplomsko delo : interdisciplinarni univerzitetni študijski program prve stopnje Računalništvo in matematika | |
Voting and historical games, 2010, ©2011: | |
Web projections learning from contextual subgraphs of the web | |
Welcome on behalf of the Wiki workshop chairs & organization | |
Why we read Wikipedia | |
WILDS a benchmark of in-the-wild distribution shifts | |
ZeroC: a neuro-symbolic model for zero-shot concept recognition and acquisition at inference time | |
Znanost o podatkih za človeško blago. | |
빅데이터 마이닝 하둡을 이용한 대용량 데이터 마이닝 기법 |