Impact assessment and mechanism of water conservancy policy on carbon emission performance under the background of artificial intelligence.
Expert Syst. J. Knowl. Eng., May, 2024
Research on Network Teaching Collaboration Platform Using Flipped Classroom Teaching Mode.
J. Inf. Knowl. Manag., April, 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.
CoRR, 2024
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
CoRR, 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs.
CoRR, 2024
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept.
CoRR, 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.
CoRR, 2024
Graph Machine Learning in the Era of Large Language Models (LLMs).
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CoRR, 2024
Universal Link Predictor By In-Context Learning on Graphs.
CoRR, 2024
A Data Generation Perspective to the Mechanism of In-Context Learning.
CoRR, 2024
Neural Scaling Laws on Graphs.
CoRR, 2024
Whole Page Unbiased Learning to Rank.
Proceedings of the ACM on Web Conference 2024, 2024
The 1st International Workshop on Graph Foundation Models (GFM).
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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Source Free Graph Unsupervised Domain Adaptation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
LPFormer: An Adaptive Graph Transformer for Link Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Position: Graph Foundation Models Are Already Here.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
Revisiting Link Prediction: a data perspective.
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
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
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SIGKDD Explor., December, 2023
Adaptive Pairwise Encodings for Link Prediction.
CoRR, 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
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.
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.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Alternately Optimized Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Whole Page Unbiased Learning to Rank.
CoRR, 2022
A Large Scale Search Dataset for Unbiased Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Neuron with Steady Response Leads to Better Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Source Free Unsupervised Graph Domain Adaptation.
CoRR, 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
A machine learning based computer-aided molecular design/screening methodology for fragrance molecules.
Comput. Chem. Eng., 2018