research
∙
07/10/2023
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space
Graph data management is instrumental for several use cases such as reco...
share
research
∙
04/25/2023
Bridging graph data models: RDF, RDF-star, and property graphs as directed acyclic graphs
Graph database users today face a choice between two technology stacks: ...
research
∙
04/03/2023
Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and OUT Size Estimation over Joins
We propose a new method for estimating the number of answers OUT of a sm...
research
∙
11/01/2022
Reasoning on Property Graphs with Graph Generating Dependencies
Graph Generating Dependencies (GGDs) informally express constraints betw...
research
∙
09/04/2022
FairSNA: Algorithmic Fairness in Social Network Analysis
In recent years, designing fairness-aware methods has received much atte...
research
∙
07/25/2022
GNN Transformation Framework for Improving Efficiency and Scalability
We propose a framework that automatically transforms non-scalable GNNs i...
research
∙
05/20/2022
Survey on Fair Reinforcement Learning: Theory and Practice
Fairness-aware learning aims at satisfying various fairness constraints ...
research
∙
08/11/2021
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs
Many techniques have been developed for the cardinality estimation probl...
research
∙
03/25/2021
[Technical Report] Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation
Graph pattern cardinality estimation is the problem of estimating the nu...
research
∙
04/21/2020
GGDs: Graph Generating Dependencies
We propose Graph Generating Dependencies (GGDs), a new class of dependen...
research
∙
04/16/2020
Knowledge Scientists: Unlocking the data-driven organization
Organizations across all sectors are increasingly undergoing deep transf...
research
∙
03/06/2020
Structural Indexing for Conjunctive Path Queries
Structural indexing is an approach to accelerating query evaluation, whe...
research
∙
02/10/2020
Novelty Producing Synaptic Plasticity
A learning process with the plasticity property often requires reinforce...
research
∙
04/02/2019
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions
A fundamental aspect of learning in biological neural networks (BNNs) is...
research
∙
03/22/2019
Learning with Delayed Synaptic Plasticity
The plasticity property of biological neural networks allows them to per...
research
∙
05/25/2018
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding
Network embedding (NE) is playing a principal role in network mining, du...
research
∙
04/19/2018
