Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Future Matters for Present: Towards Effective Physical Simulation over Meshes.

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[DOI]

Xiao Luo

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.

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[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Embracing Large Language Models in Traffic Flow Forecasting.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.

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[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs.

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[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.

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[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.

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[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Graph ODE for Continuous-Time Sequential Recommendation.

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[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

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[DOI]

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

A Diffusion Model for POI Recommendation.

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[DOI]

ACM Trans. Inf. Syst., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

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[DOI]

ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Towards Semi-Supervised Universal Graph Classification.

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[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.

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[DOI]

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

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[DOI]

Neural Networks, 2024

Poisoning medical knowledge using large language models.

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[DOI]

Nat. Mac. Intell., 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.

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[DOI]

Inf. Fusion, 2024

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.

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[DOI]

CoRR, 2024

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.

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[DOI]

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

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[DOI]

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

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[DOI]

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

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[DOI]

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

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[DOI]

CoRR, 2024

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Survey of Data-Efficient Graph Learning.

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[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.

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[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PGODE: Towards High-quality System Dynamics Modeling.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MOAT: Graph Prompting for 3D Molecular Graphs.

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[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency.

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[DOI]

Wei Ju

Siyu Yi

Ming Zhang

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

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[DOI]

IEEE Trans. Big Data, December, 2023

Unsupervised graph-level representation learning with hierarchical contrasts.

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[DOI]

Neural Networks, January, 2023

Zero-shot Node Classification with Graph Contrastive Embedding Network.

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[DOI]

Trans. Mach. Learn. Res., 2023

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.

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[DOI]

Trans. Mach. Learn. Res., 2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

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[DOI]

Neural Networks, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.

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[DOI]

CoRR, 2023

FIMO: A Challenge Formal Dataset for Automated Theorem Proving.

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[DOI]

CoRR, 2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

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[DOI]

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

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[DOI]

CoRR, 2023

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.

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[DOI]

CoRR, 2023

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.

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[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.

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[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.

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[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.

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[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Learning on Graphs under Label Noise.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

GLCC: A General Framework for Graph-Level Clustering.

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[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.

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[DOI]

Neural Networks, 2022

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.

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[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improved Deep Unsupervised Hashing via Prototypical Learning.

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[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

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