Ying Zhang

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

Sep 25, 2026

SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs

Sep 13, 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

WOCD: A semi-supervised method for overlapping community detection using weak cliques

Jun 11, 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

EXG: Self-Evolving Agents with Experience Graphs

May 1, 2026

Data-Centric Foundations of Agentic AI

May 1, 2026

MGDN: A Graph of Graphs Neural Network for Malware Detection

Apr 30, 2026

Data in Agentic AI: A Comprehensive Survey

Apr 1, 2026

RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning

Jan 1, 2026

Finding critical users in social networks with reinforcement learning

Jan 1, 2026

Algorithmic and Learning-based Approaches to Subgraph Matching and Counting: A Survey

Jan 1, 2026

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications

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

IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis

Apr 8, 2025

AIGC for Graphs: Current Techniques and Future Trends

*IEEE International Conference on Data Engineering (**ICDE**) 2025 (Tutorial)*

Mar 4, 2025

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching

Mar 1, 2025

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models

Feb 1, 2025

RIDA: a robust attack framework on incomplete graphs

Jan 1, 2025

Inferring gene regulatory networks by hypergraph generative model

Jan 1, 2025

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms

Oct 1, 2024

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning

Oct 1, 2024

Deep Learning Approaches for Similarity Computation: A Survey

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2024*

Jul 3, 2024

Bipartite Graph Analytics: Current Techniques and Future Trends

*IEEE 40th International Conference on Data Engineering (**ICDE '24**)*

May 13, 2024

Simple and Deep Graph Attention Networks

*Knowledge-Based Systems 2024*

Mar 19, 2024

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

FPGN: follower prediction framework for infectious disease prevention

*World Wide Web 2023*

Sep 16, 2023

Group-based Fraud Detection Network on e-Commerce Platforms

*29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (**KDD '23**)*

Aug 4, 2023

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions

*IEEE Transactions on Knowledge and Data Engineering (**TKDE**) 2023*

Jul 24, 2023

TMN: Trajectory Matching Networks for Learning Similarity Computation

*IEEE 38th International Conference on Data Engineering (**ICDE '22**)*

Mar 25, 2022

Neural Subgraph Counting with Wasserstein Estimator

*ACM Special Interest Group in Management Of Data 2022 (**SIGMOD '22**)*

Mar 8, 2022

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

*IEEE 38th International Conference on Data Engineering (**ICDE '22**)*

Jan 18, 2022

Binarized Graph Neural Network

*World Wide Web 2021*

Apr 8, 2021

T3S: Effective Representation Learning for Trajectory Similarity Computation

*IEEE 37th International Conference on Data Engineering (**ICDE '21**)*

Jan 18, 2021

EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search

*The VLDB Journal 2020 (**VLDBJ**)*

Sep 30, 2020

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

*Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (**IJCAI '20**)*

Apr 6, 2020

I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space

*Database Systems for Advanced Applications (**DASFAA-2020**)*

Apr 1, 2020

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