FIRST: Fast Interactive Attributed Subgraph Matching. - Boxin Du; Si Zhang; Nan Cao 001; Hanghang Tong (KDD, 2017)

FASTEN: Fast Sylvester Equation Solver for Graph Mining. - Boxin Du; Hanghang Tong (KDD, 2018)

G-Finder: Approximate Attributed Subgraph Matching. - Lihui Liu; Boxin Du; Jiejun Xu; Hanghang Tong (IEEE BigData, 2019)

MrMine: Multi-resolution Multi-network Embedding. - Boxin Du; Hanghang Tong (CIKM, 2019)

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. - Shane Roach; Connie Ni; Alexei Kopylov; Tsai-Ching Lu; Jiejun Xu; Si Zhang; Boxin Du; Dawei Zhou 003; Jun Wu 019; Lihui Liu; Yuchen Yan; Jingrui He; et al. (IEEE BigData, 2020)

An Intelligent Management Mechanism for Residential Power Under Software Defined Network. - Wenru Zeng; Boxin Du; Zhiwei Guo; Keping Yu; Xu Gao; Yu Shen 004 (GLOBECOM (Workshops), 2020)

Deep Neural Network-Embedded Internet of Social Computing Things for Sustainability Prediction. - Qiao Li; Ying Song; Boxin Du; Yu Shen 004; Yuan Tian (IEEE Access, 2020)

KompaRe: A Knowledge Graph Comparative Reasoning System. - Lihui Liu; Boxin Du; Heng Ji 001; Hanghang Tong (CoRR, 2020)

Sylvester Tensor Equation for Multi-Way Association. - Boxin Du; Lihui Liu; Hanghang Tong (KDD, 2021)

New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. - Boxin Du; Si Zhang; Yuchen Yan; Hanghang Tong (KDD, 2021)

KompaRe: A Knowledge Graph Comparative Reasoning System. - Lihui Liu; Boxin Du; Yi Ren Fung 001; Heng Ji 001; Jiejun Xu; Hanghang Tong (KDD, 2021)

Neural-Answering Logical Queries on Knowledge Graphs. - Lihui Liu; Boxin Du; Heng Ji 001; ChengXiang Zhai; Hanghang Tong (KDD, 2021)

Hypergraph Pre-training with Graph Neural Networks. - Boxin Du; Changhe Yuan; Robert A. Barton; Tal Neiman; Hanghang Tong (CoRR, 2021)

Self-supervised Hypergraph Representation Learning. - Boxin Du; Changhe Yuan; Robert A. Barton; Tal Neiman; Hanghang Tong (IEEE Big Data, 2022)

SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. - Zhenning Zhang; Boxin Du; Hanghang Tong (CIKM, 2022)

Joint Knowledge Graph Completion and Question Answering. - Lihui Liu; Boxin Du; Jiejun Xu; Yinglong Xia; Hanghang Tong (KDD, 2022)

Graph Sanitation with Application to Node Classification. - Zhe Xu 007; Boxin Du; Hanghang Tong (WWW, 2022)

Learning Optimal Propagation for Graph Neural Networks. - Beidi Zhao; Boxin Du; Zhe Xu 007; Liangyue Li; Hanghang Tong (CoRR, 2022)

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. - Lihui Liu; Ruining Zhao; Boxin Du; Yi Ren Fung 001; Heng Ji 001; Jiejun Xu; Hanghang Tong (IEEE Data Eng. Bull., 2022)

Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. - Boxin Du; Robert A. Barton; Grant Galloway; Junzhou Huang; Shioulin Sam; Ismail B. Tutar; Changhe Yuan (CIKM, 2023)

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. - Boxin Du; Changhe Yuan; Fei Wang 065; Hanghang Tong (CIKM, 2023)

Neural Multi-network Diffusion towards Social Recommendation. - Boxin Du; Lihui Liu; Jiejun Xu; Fei Wang 065; Hanghang Tong (CoRR, 2023)

Conversational Question Answering with Reformulations over Knowledge Graph. - Lihui Liu; Blaine Hill; Boxin Du; Fei Wang 065; Hanghang Tong (CoRR, 2023)

Hierarchical Multi-Marginal Optimal Transport for Network Alignment. - Zhichen Zeng 001; Boxin Du; Si Zhang; Yinglong Xia; Zhining Liu 002; Hanghang Tong (AAAI, 2024)

Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. - Lihui Liu; Blaine Hill; Boxin Du; Fei Wang 001; Hanghang Tong (ACL (Findings), 2024)

Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment. - Wenliang Zhong; Wenyi Wu; Qi Li; Robert A. Barton; Boxin Du; Shioulin Sam; Karim Bouyarmane; Ismail B. Tutar; Junzhou Huang (CoRR, 2024)