Paper-Conference

Multivariate Time Series Forecasting needs Cross Variable Loss

Sep 25, 2026

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis

Sep 25, 2026

UniCom: A Unified Framework for Community Search and Detection via Transfer Learning

Aug 6, 2026

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation

Aug 6, 2026

Mining Discriminative Salient Objects with Optimal Transport for Few-Shot Image Classification

Jul 15, 2026

Algebraic Subgraph Counting

Jun 13, 2026

HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning

May 20, 2026

Towards Generative Graph Matching for Graph Edit Distance Computation

May 1, 2026

Data-Centric Foundations of Agentic AI

May 1, 2026

Accelerating K-Core Computation in Temporal Graphs

Mar 1, 2026

Computing Historical k-Core in Parallel

Dec 4, 2025

Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction

Oct 1, 2025

Machine Learning for Graph Data Management and Query Processing

*International Conference on Very Large Data Bases (VLDB) 2025 (Tutorial)*

Sep 4, 2025

Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach

Aug 1, 2025

Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks

May 1, 2025

Covering K-Cliques in Billion-Scale Graphs

Mar 1, 2025

Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation

*Information Processing and Management 2024*

Jan 16, 2024

TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data

Jan 1, 2024

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs

Jan 1, 2024

I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space

*IEEE 35th International Conference on Data Engineering (**ICDE-2019**)*

Apr 6, 2019