王啸

2026

图机器学习泛化性：回顾与展望

《计算》

2026

Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning

The Web Conference

DOI

2026

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding

arXiv.org

DOI

2026

ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models

2026

negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification

ACM Web Conference (WWW)

DOI

2026

Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning

ACM Web Conference (WWW)

DOI

2026

Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs

ACM Web Conference (WWW)

DOI

2025

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework

Neural Information Processing Systems

DOI

2025

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

International Joint Conference on Artificial Intelligence

DOI

2024

Graph Contrastive Invariant Learning from the Causal Perspective

AAAI Conference on Artificial Intelligence

DOI

2024

A Generalized Neural Diffusion Framework on Graphs

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

Unifying Graph Neural Networks with a Generalized Optimization Framework

ACM Trans. Inf. Syst.

DOI

2024

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Neural Information Processing Systems

DOI

2024

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

Knowledge Discovery and Data Mining

DOI

2024

Graph Fairness Learning under Distribution Shifts

The Web Conference

DOI

2024

Can Small Language Models be Good Reasoners for Sequential Recommendation?

ACM Web Conference (WWW)

DOI

2023

Heterogeneous Graph Propagation Network

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Advances in Graph Neural Networks

Synthesis Lectures on Data Mining and Knowledge Discovery

DOI

2023

Towards Adaptive Information Fusion in Graph Convolutional Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

International Conference on Machine Learning

DOI

2023

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Intent-aware Recommendation via Disentangled Graph Contrastive Learning

International Joint Conference on Artificial Intelligence

DOI

2023

A Survey on Spectral Graph Neural Networks

arXiv.org

DOI

2023

Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2023

Provable Training for Graph Contrastive Learning

Neural Information Processing Systems

DOI

2023

Minimum Topology Attacks for Graph Neural Networks

The Web Conference

DOI

2023

Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network

ECML/PKDD

DOI

2023

A Semi-Supervised Graph Neural Network with Confidence Discrimination

International Conference on Computing and Pattern Recognition (ICCPR)

DOI

2023

Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification

IEEE Transactions on Big Data

DOI

2022

A Long-Tail Regularization Method for Traffic Sign Recognition Based on Parallel Vision

IEEE Journal of Radio Frequency Identification

DOI

2022

The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences

IEEE Intelligent Systems

DOI

2022

Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations

IEEE Transactions on Intelligent Vehicles

DOI

2022

Embedding text-rich graph neural networks with sequence and topical semantic structures

Knowledge and Information Systems

DOI

2022

Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives

IEEE Transactions on Intelligent Vehicles

DOI

2022

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs

IEEE/CAA Journal of Automatica Sinica

DOI

2022

PFedSim: An Efficient Federated Control Method for Clustered Training

IEEE Journal of Radio Frequency Identification

DOI

2022

Parallel cognition: hybrid intelligence for human-machine interaction and management

Frontiers Inf. Technol. Electron. Eng.

DOI

2022

Learning Transformer-based Cooperation for Networked Traffic Signal Control

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

DOI

2022

ACP Based Large-Scale Coordinated Route Planning: From Perspective of Cyber-Physical-Social Systems

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

DOI

2022

Parallel Factories for Smart Industrial Operations: From Big AI Models to Field Foundational Models and Scenarios Engineering

IEEE CAA J. Autom. Sinica

DOI

2022

SST-GAN: Single Sample-based Realistic Traffic Image Generation for Parallel Vision

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

DOI

2022

Digital Workers in Cyber–Physical–Social Systems for PCB Manufacturing

IEEE Journal of Radio Frequency Identification

DOI

2022

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks

AAAI Conference on Artificial Intelligence

DOI

2022

Heterogeneous Graph Representation Learning and Applications

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2022

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Directed Acyclic Graph Structure Learning from Dynamic Graphs

AAAI Conference on Artificial Intelligence

DOI

2022

Debiased Graph Neural Networks With Agnostic Label Selection Bias

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Self-supervised Graph Neural Networks for Multi-behavior Recommendation

International Joint Conference on Artificial Intelligence

DOI

2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations

AAAI Conference on Artificial Intelligence

DOI

2022

Graph Representation Learning

Graph Neural Networks: Foundations, Frontiers, and Applications

DOI

2022

Uncovering the Structural Fairness in Graph Contrastive Learning

Neural Information Processing Systems

DOI

2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift

The Web Conference

DOI

2022

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Neural Information Processing Systems

DOI

2022

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Neural Information Processing Systems

DOI

2022

Geometric Disentangled Collaborative Filtering

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2022

Compact Graph Structure Learning via Mutual Information Compression

The Web Conference

DOI

2022

Improving Graph Clustering with Multi-Granularity Debiased Contrastive Learning

2022

Prohibited Item Detection via Risk Graph Structure Learning

The Web Conference

DOI

2022

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network

International Conference on Information and Knowledge Management

DOI

2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2021

Universal Graph Convolutional Networks

Neural Information Processing Systems

2021

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks

Industrial Conference on Data Mining

DOI

2021

Generalizing Graph Neural Networks on Out-of-Distribution Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

Platforms and Practice of Heterogeneous Graph Representation Learning

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Emerging Topics of Heterogeneous Graph Representation

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Attribute-Assisted Heterogeneous Graph Representation

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

The State-of-the-Art of Heterogeneous Graph Representation

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Heterogeneous Graph Representation for Recommendation

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Heterogeneous Graph Representation for Text Mining

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Introduction

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Future Research Directions

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Heterogeneous Graph Structure Learning for Graph Neural Networks

AAAI Conference on Artificial Intelligence

DOI

2021

CuCo: Graph Representation with Curriculum Contrastive Learning

International Joint Conference on Artificial Intelligence

DOI

2021

Dynamic Heterogeneous Graph Representation

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Embedding Heterogeneous Information Network in Hyperbolic Spaces

ACM Transactions on Knowledge Discovery from Data

DOI

2021

Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce

AAAI Conference on Artificial Intelligence

DOI

2021

Heterogeneous Information Network Embedding With Adversarial Disentangler

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Heterogeneous Graph Representation for Industry Application

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Structure-Preserved Heterogeneous Graph Representation

Artificial Intelligence: Foundations, Theory, and Algorithms

DOI

2021

Beyond Low-frequency Information in Graph Convolutional Networks

AAAI Conference on Artificial Intelligence

DOI

2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Neural Information Processing Systems

2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

The Web Conference

DOI

2021

Graph Structure Estimation Neural Networks

The Web Conference

DOI

2021

Lorentzian Graph Convolutional Networks

The Web Conference

DOI

2021

Large-scale Comb-K Recommendation

The Web Conference

DOI

2021

Prohibited Item Detection on Heterogeneous Risk Graphs

International Conference on Information and Knowledge Management

DOI

2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Knowledge Discovery and Data Mining

DOI

2020

Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management

IEEE transactions on intelligent transportation systems (Print)

DOI

2020

Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant

IEEE Transactions on Computational Social Systems

DOI

2020

Parallel Societies: A Computing Perspective of Social Digital Twins and Virtual-Real Interactions

IEEE Transactions on Computational Social Systems

DOI

2020

Decorrelated Clustering with Data Selection Bias

International Joint Conference on Artificial Intelligence

DOI

2020

Motif-Preserving Temporal Network Embedding

International Joint Conference on Artificial Intelligence

DOI

2020

Network Schema Preserving Heterogeneous Information Network Embedding

International Joint Conference on Artificial Intelligence

DOI

2020

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Knowledge Discovery and Data Mining

DOI

2020

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks

Industrial Conference on Data Mining

DOI

2020

Heterogeneous Graph Neural Network for Recommendation

arXiv.org

2020

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

IEEE Transactions on Big Data

DOI

2020

One2Multi Graph Autoencoder for Multi-view Graph Clustering

The Web Conference

DOI

2020

A Survey of Heterogeneous Information Networks Analysis and Applications

2020

Structural Deep Clustering Network

The Web Conference

DOI

2019

Social Computing: From Crowdsourcing to Crowd Intelligence by Cyber Movement Organizations

IEEE Transactions on Computational Social Systems

DOI

2019

Hyperbolic Heterogeneous Information Network Embedding

AAAI Conference on Artificial Intelligence

DOI

2019

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2019

Independence Promoted Graph Disentangled Networks

AAAI Conference on Artificial Intelligence

DOI

2019

Multi-Component Graph Convolutional Collaborative Filtering

AAAI Conference on Artificial Intelligence

DOI

2019

Heterogeneous Graph Attention Network

The Web Conference

DOI

2018

Abnormal Event Detection via Heterogeneous Information Network Embedding

International Conference on Information and Knowledge Management

DOI

2017

A Survey on Network Embedding

IEEE Transactions on Knowledge and Data Engineering

DOI

2017

Learning community structures: Global and local perspectives

Neurocomputing

DOI

2017

XRec

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

DOI

2016

VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils

IEEE Transactions on Dependable and Secure Computing

DOI

2015

Understanding Sybil Groups in the Wild

Journal of Computational Science and Technology

DOI

2014

The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF

The Web Conference

DOI

2013

VoteTrust: Leveraging friend invitation graph to defend against social network Sybils

2013 Proceedings IEEE INFOCOM

DOI

2013

Predicting user activity level in social networks

International Conference on Information and Knowledge Management

DOI

2013

Unfolding dynamics in a social network: co-evolution oflink formation and user interaction

The Web Conference

DOI

2012

A Cooperative and Heuristic Community Detecting Algorithm

Journal of Computers

DOI

2012

Detecting and Validating Sybil Groups in the Wild

International Conference on Distributed Computing Systems Workshops

DOI

2012

Social Turing Tests: Crowdsourcing Sybil Detection

Network and Distributed System Security Symposium

2012

Multi-scale dynamics in a massive online social network

ACM/SIGCOMM Internet Measurement Conference

DOI

2012

On the bursty evolution of online social networks

HotSocial '12

DOI

2011

Uncovering social network sybils in the wild

ACM/SIGCOMM Internet Measurement Conference

DOI

2011

Role Assorted Community Discovery for Weighted Networks

Journal of Software

DOI

2010

Research of Community Discovery Algorithm Guided by Multimodal Function Optimization

International Symposium on Information and Automation

DOI

2010

Understanding latent interactions in online social networks

ACM/SIGCOMM Internet Measurement Conference

DOI

2025

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport

arXiv (Cornell University)

DOI

2024

Exploring Task Unification in Graph Representation Learning via Generative Approach

arXiv (Cornell University)

DOI