SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network.
CoRR, 2024
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning.
Proceedings of the Semantic Web - ISWC 2023, 2023
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding.
Proceedings of the Semantic Web - ISWC 2023, 2023
Tele-Knowledge Pre-training for Fault Analysis.
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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Target-Oriented Sentiment Classification with Sequential Cross-Modal Semantic Graph.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Analogical Inference Enhanced Knowledge Graph Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Tele-Knowledge Pre-training for Fault Analysis.
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CoRR, 2022
Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph.
CoRR, 2022
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs.
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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022