A Multi-rounded Adversarial Scenario for Graph-based Promo Fraud Detection
Social Network Analysis and Mining, 2026 (To Appear)
Publications
2026
2025
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
How Useful Is Graph Pooling for Node-Level Tasks?
Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction using Variable Scene Graphs
Balancing Embedding Spectrum for Recommendation
Weight-Aware Tasks for Evaluating Knowledge Graph Embeddings
Memory Augmented using Diffusion Model for Class-Incremental Learning
Estimating the Plausibility of Commonsense Statements by Novelly Fusing Large Language Model and Graph Neural Network
Implicit Knowledge-Augmented Prompting for Commonsense Explanation Generation
Antimicrobial Resistance Recommendations via Electronic Health Records with Graph Representation and Patient Population Modeling
A General and Scalable GCN Training Framework on CPU Supercomputers
Future-Proofing Class-Incremental Learning
Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers
Action Sequence Analysis using Temporal Commonsense Knowledge
Evaluating Segmentation Performance of Learnable Resized Models on Small Features from Sparse Point Cloud-Derived Imagery
Proceedings of IGARSS 2025 (Accepted)
DIFFRPTraj: Diffusion-based Realistic Pedestrian Trajectory Generation
Proceedings of IGARSS 2025 (Accepted)
Customizing Masked Autoencoders For Self-Supervised Learning On Airborne LiDAR Point Clouds
Proceedings of IGARSS 2025 (Accepted)
Label Distribution Learning on Subgraphs
GMIML: Graph Multi-Instance Multi-Label Learning
Proceedings of GCCE 2025 (Oral Presentation Award)
Advancing ALS Applications with Large-Scale Pre-Training: Framework, Dataset, and Downstream Assessment
Molecular Structure Learning with Graph Transformers: A Graph Reduction Approach for Improved Efficiency and Accuracy
DIFF²RPTraj: Diffusion-based Generation of Realistic Pedestrian Trajectories using Coordinate Differences
Proceedings of SIGSPATIAL 2025 Workshops (Accepted)
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection using Generative Models
Refining Noisy Knowledge Graph with Large Language Models
2024
How Powerful is Graph Filtering for Recommendation
S3PaR: Section-based Sequential Scientific Paper Recommendation for Paper Writing Assistance
Inexact Graph Representation Learning
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise
Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery
Communication Optimization for Distributed GCN Training on ABCI Supercomputer
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations
Predicting Popularity Trend in Social Media Networks with Multi-layer Temporal Graph Neural Networks
2023
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graphs
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
What Wikipedia Misses about Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation
Class-Incremental Learning using Diffusion Model for Distillation and Replay
Commonsense Temporal Action Knowledge (CoTAK) Dataset
Feature Selection: Key to Enhance Node Classification with Graph Neural Networks
StereoVAE: A Lightweight Stereo-Matching System using Embedded GPUs
DS-Net: A Dedicated Approach for Collapsed Building Detection from Post-Event Airborne Point Clouds
QSD-LSTM: Vessel Trajectory Prediction using Long Short-Term Memory with Quaternion Ship Domain
Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling
WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs
2022
Heterogeneous Graph Embedding with Single-Level Aggregation and Infomax Encoding
Anonymity Can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-Label Graphs
Balanced Softmax Cross-Entropy for Incremental Learning with and without Memory
Leaping Through Time with Gradient-based Adaptation for Recommendation
Dual Cost-Sensitive Graph Convolutional Network Learning for Imbalanced Graph Node Classification
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification
TransHExt: A Weighted Extension for TransH on Weighted Knowledge Graph Embedding
Predicting Potential Real-time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph
Strengthening Robustness under Adversarial Attacks using Brain Visual Codes
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies
SORAG: Synthetic Data Over-sampling Strategy on Multi-Label Graphs
Long-tailed Graph Representation Learning via Dual Cost-sensitive Graph Convolutional Network
Efficient Stereo Matching on Embedded GPUs with Zero-Means Cross Correlation
Simplifying Approach to Node Classification in Graph Neural Networks
Enhancing Citation Recommendation using Citation Network Embedding
2021
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Neural Networks for Fast Node Ranking Approximation
PGRA: Projected Graph Relation-Feature Attention Network for Heterogeneous Information Network Embedding
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Convolution Network
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
Balanced Softmax Cross-Entropy for Incremental Learning
Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics
Predicting Emergency Medical Service Demand with Bipartite Graph Convolutional Networks
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Structure-Guided Attributed Network Embedding with ''Centroid'' Enhancement
2020
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision
ConvCN: A CNN-based Citation Network Embedding Algorithm Towards Citation Recommendation
BiMLPA: Community Detection in Bipartite Networks by Multi-Label Propagation
Population Graph-based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder
Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization
Z²-ZNCC: ZigZag Scanning Based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk
2019
A General View for Network Embedding as Matrix Factorization
Fast Approximations of Betweenness Centrality with Graph Neural Networks
Recurrent Translation-based Network for Top-N Sparse Sequential Recommendation
How Much Topological Structure is Preserved by Graph Embeddings?
Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways
GTransE: Generalizing Translation-based Model on Uncertain Knowledge Graph Embedding
Optimizing Variational Graph Autoencoder for Community Detection
2018
Learning Community Structure with Variational Autoencoder
Network Embedding Based on a Quasi-Local Similarity Measure
Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?
Variational Approach for Learning Community Structures
〜2017
Food Sales Prediction with Meteorological Data: A Case Study of a Japanese Chain Supermarket
Towards an Aggregator That Exploits Big Data to Bid on Frequency Containment Reserve Market
Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression
Detecting Network Communities Beyond Assortativity-Related Attributes
A Framework for Community Detection in Heterogeneous Multi-Relational Networks
A Unified Modularity by Encoding the Similarity Attraction Feature into the Null Model
Extracting the Multilevel Communities Based on Network Structural and Nonstructural Information
Community Detection Algorithm Based on Centrality and Node Distance in Scale-Free Networks
Detecting Communities in K-Partite K-Uniform (Hyper)Networks
Extracting the Mesoscopic Structure from Heterogeneous Systems
Advanced Modularity-Specialized Label Propagation Algorithm for Detecting Communities in Networks
An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks
Evaluating Community Structure in Bipartite Networks
Community Detection in Large-Scale Bipartite Networks
How Does Label Propagation Algorithm Work in Bipartite Networks?
Effective Algorithm for Detecting Community Structure in Complex Networks based on GA and Clustering