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20232026
most citedProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation

1 citations · 2 across the 27 of their papers we have counts for

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cs.DB2026

Algebraic Subgraph Counting

Qiuyu Guo, Jianye Yang, Wenjie Zhang +3

Subgraph isomorphism counting is a fundamental problem in graph analytics, which aims to find the number of subgraph isomorphisms of a query graph in a data graph. The candidate tr…

cs.DB2026

Efficient Approximate Nearest Neighbor Search under Multi-Attribute Range Filter

Yuanhang Yu, Dawei Cheng, Ying Zhang +3

Nearest neighbor search on high-dimensional vectors is fundamental in modern AI and database systems. In many real-world applications, queries involve constraints on multiple numer…

cs.DB2025

Accelerating Historical K-Core Search in Temporal Graphs

Zhuo Ma, Dong Wen, Kaiyu Chen +3

We study the temporal k-core component search (TCCS), which outputs the k-core containing the query vertex in the snapshot over an arbitrary query time window in a temporal graph.…

cs.DB2025

Accelerating K-Core Computation in Temporal Graphs

Zhuo Ma, Dong Wen, Hanchen Wang +3

We address the problem of enumerating all temporal k-cores given a query time range and a temporal graph, which suffers from poor efficiency and scalability in the state-of-the-art…

cs.DB2024

Efficient Dynamic Attributed Graph Generation

Fan Li, Xiaoyang Wang, Dawei Cheng +3

Data generation is a fundamental research problem in data management due to its diverse use cases, ranging from testing database engines to data-specific applications. However, rea…

cs.DB2024

Efficient Maximal Frequent Group Enumeration in Temporal Bipartite Graphs

Yanping Wu, Renjie Sun, Xiaoyang Wang +4

Cohesive subgraph mining is a fundamental problem in bipartite graph analysis. In reality, relationships between two types of entities often occur at some specific timestamps, whic…