2024
Deep Learning in Single-cell Analysis.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
ACM Trans. Intell. Syst. Technol., June, 2024
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
J. Comput. Biol., 2024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.
CoRR, 2024
Sub-graph Based Diffusion Model for Link Prediction.
CoRR, 2024
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.
CoRR, 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights.
CoRR, 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs.
CoRR, 2024
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling.
CoRR, 2024
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
CoRR, 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation.
CoRR, 2024
Globally Interpretable Graph Learning via Distribution Matching.
Proceedings of the ACM on Web Conference 2024, 2024
DCAI: Data-centric Artificial Intelligence.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
,
,
,
,
,
,
,
,
,
,
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
A Review of Graph Neural Networks in Epidemic Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Label-free Node Classification on Graphs with Large Language Models (LLMs).
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Spectral-Aware Augmentation for Enhanced Graph Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Trustworthy and Responsible AI for Information and Knowledge Management System.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
,
,
,
,
,
,
,
,
,
,
SIGKDD Explor., December, 2023
INS-GNN: Improving graph imbalance learning with self-supervision.
Inf. Sci., August, 2023
Graph Data Augmentation for Graph Machine Learning: A Survey.
IEEE Data Eng. Bull., 2023
Customized Graph Nerual Networks.
IEEE Data Eng. Bull., 2023
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
CoRR, 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.
CoRR, 2023
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.
CoRR, 2023
Toward Degree Bias in Embedding-Based Knowledge Graph Completion.
Proceedings of the ACM Web Conference 2023, 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Enhancing Graph Representations Learning with Decorrelated Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Empowering Graph Representation Learning with Test-Time Graph Transformation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Jointly Attacking Graph Neural Network and its Explanations.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Single-Cell Multimodal Prediction via Transformers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Learning Representations for Hyper-Relational Knowledge Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
2022
Test-Time Training for Graph Neural Networks.
CoRR, 2022
Learning Representations for Hyper-Relational Knowledge Graphs.
CoRR, 2022
Condensing Graphs via One-Step Gradient Matching.
CoRR, 2022
Graph Neural Networks for Multimodal Single-Cell Data Integration.
CoRR, 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Graph Trend Filtering Networks for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Graph Neural Networks for Multimodal Single-Cell Data Integration.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Condensing Graphs via One-Step Gradient Matching.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Graph Condensation for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Automated Self-Supervised Learning for Graphs.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Graph Trend Networks for Recommendations.
CoRR, 2021
Localized Graph Collaborative Filtering.
CoRR, 2021
Node Similarity Preserving Graph Convolutional Networks.
Proceedings of the WSDM '21, 2021
Graph Mining with Graph Neural Networks.
Proceedings of the WSDM '21, 2021
Graph Neural Networks with Adaptive Residual.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Graph Representation Learning: Foundations, Methods, Applications and Systems.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Elastic Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021
Graph Feature Gating Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
DeepRobust: a Platform for Adversarial Attacks and Defenses.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Adversarial Attacks and Defenses on Graphs.
SIGKDD Explor., 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction.
CoRR, 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses.
CoRR, 2020
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study.
CoRR, 2020
Traffic Flow Prediction via Spatial Temporal Graph Neural Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Adversarial Attacks and Defenses: Frontiers, Advances and Practice.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Graph Structure Learning for Robust Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020