2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective.
CoRR, January, 2025
2024
Unifying Graph Neural Networks with a Generalized Optimization Framework.
ACM Trans. Inf. Syst., November, 2024
HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Debiased Graph Neural Networks With Agnostic Label Selection Bias.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Cross-scale contrastive triplet networks for graph representation learning.
Pattern Recognit., January, 2024
Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection.
IEEE Trans. Image Process., 2024
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
CoRR, 2024
Can Small Language Models be Good Reasoners for Sequential Recommendation?
Proceedings of the ACM on Web Conference 2024, 2024
Graph Fairness Learning under Distribution Shifts.
Proceedings of the ACM on Web Conference 2024, 2024
Less is More: on the Over-Globalizing Problem in Graph Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Graph Contrastive Invariant Learning from the Causal Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Generalized Neural Diffusion Framework on Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Towards Adaptive Information Fusion in Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., December, 2023
Temporal Heterogeneous Information Network Embedding via Semantic Evolution.
IEEE Trans. Knowl. Data Eng., December, 2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.
IEEE Trans. Knowl. Data Eng., October, 2023
Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification.
IEEE Trans. Big Data, August, 2023
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data, April, 2023
Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst., February, 2023
Advances in Graph Neural Networks
Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-16174-2, 2023
Heterogeneous Information Network Embedding With Adversarial Disentangler.
IEEE Trans. Knowl. Data Eng., 2023
Heterogeneous Graph Propagation Network.
IEEE Trans. Knowl. Data Eng., 2023
A Summary of ICDE 2022 Research Session Panels.
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IEEE Data Eng. Bull., 2023
A Survey on Spectral Graph Neural Networks.
CoRR, 2023
Minimum Topology Attacks for Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023
Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Provable Training for Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Multi-Scale Subgraph Contrastive Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
A Semi-Supervised Graph Neural Network with Confidence Discrimination.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023
Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph.
Proceedings of the IEEE International Conference on Acoustics, 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Heterogeneous Graph Representation Learning and Applications
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-981-16-6165-5, 2022
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.
IEEE Trans. Knowl. Data Eng., 2022
Embedding Heterogeneous Information Network in Hyperbolic Spaces.
ACM Trans. Knowl. Discov. Data, 2022
Hyperbolic Graph Attention Network.
IEEE Trans. Big Data, 2022
Binarized network embedding with community structural information.
Inf. Sci., 2022
Compact Graph Structure Learning via Mutual Information Compression.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Prohibited Item Detection via Risk Graph Structure Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Uncovering the Structural Fairness in Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Self-supervised Graph Neural Networks for Multi-behavior Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2021
Learning Deep Lucas-Kanade Siamese Network for Visual Tracking.
IEEE Trans. Image Process., 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Lorentzian Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Graph Structure Estimation Neural Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Large-scale Comb-K Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Universal Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Temporal Heterogeneous Information Network Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
CuCo: Graph Representation with Curriculum Contrastive Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021
Prohibited Item Detection on Heterogeneous Risk Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Updated Paired Regions for Shadow Detection from Single Image.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Heterogeneous Graph Structure Learning for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Beyond Low-frequency Information in Graph Convolutional Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Community enhanced graph convolutional networks.
Pattern Recognit. Lett., 2020
Heterogeneous Graph Neural Network for Recommendation.
CoRR, 2020
One2Multi Graph Autoencoder for Multi-view Graph Clustering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Structural Deep Clustering Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Network Schema Preserving Heterogeneous Information Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Decorrelated Clustering with Data Selection Bias.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Motif-Preserving Temporal Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Multi-Component Graph Convolutional Collaborative Filtering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Independence Promoted Graph Disentangled Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Survey on Network Embedding.
IEEE Trans. Knowl. Data Eng., 2019
Heterogeneous Graph Attention Network.
Proceedings of the World Wide Web Conference, 2019
Temporal Network Embedding with Micro- and Macro-dynamics.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Hyperbolic Heterogeneous Information Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Diverse Non-Negative Matrix Factorization for Multiview Data Representation.
IEEE Trans. Cybern., 2018
Entropy-based active sparse subspace clustering.
Multim. Tools Appl., 2018
Arbitrary-Order Proximity Preserved Network Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Deep Recursive Network Embedding with Regular Equivalence.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Hierarchical Taxonomy Aware Network Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Power-law Distribution Aware Trust Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Ranking Preserving Nonnegative Matrix Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Edge Content Enhanced Network Embedding.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Billion-Scale Network Embedding with Iterative Random Projection.
Proceedings of the IEEE International Conference on Data Mining, 2018
Abnormal Event Detection via Heterogeneous Information Network Embedding.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
TIMERS: Error-Bounded SVD Restart on Dynamic Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Structural Deep Embedding for Hyper-Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Constrained Low-Rank Representation for Robust Subspace Clustering.
IEEE Trans. Cybern., 2017
Learning community structures: Global and local perspectives.
Neurocomputing, 2017
Unsupervised feature selection via Diversity-induced Self-representation.
Neurocomputing, 2017
Robust nonnegative matrix factorization with ordered structure constraints.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Multi-Component Nonnegative Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Community Preserving Network Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Modularity Based Community Detection with Deep Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Semantic Community Identification in Large Attribute Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.
IEEE Trans. Cybern., 2015
Robust semi-supervised nonnegative matrix factorization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.
Proceedings of the 23rd International World Wide Web Conference, 2014
2011
Phoenix: A Weight-Based Network Coordinate System Using Matrix Factorization.
IEEE Trans. Netw. Serv. Manag., 2011
2009
Phoenix: Towards an Accurate, Practical and Decentralized Network Coordinate System.
Proceedings of the NETWORKING 2009, 2009
2008
Nonlinear modeling of the internet delay structure.
Proceedings of the 2008 ACM Conference on Emerging Network Experiment and Technology, 2008