Dgl-ke: Training knowledge graph embeddings at scale D Zheng, X Song, C Ma, Z Tan, Z Ye, J Dong, H Xiong, Z Zhang, ... Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 214 | 2020 |
Contrastive multi-view multiplex network embedding with applications to robust network alignment H Xiong, J Yan, L Pan Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 32 | 2021 |
BTWalk: Branching tree random walk for multi-order structured network embedding H Xiong, J Yan IEEE Transactions on Knowledge and Data Engineering 34 (8), 3611-3628, 2020 | 13 | 2020 |
Learning regularized noise contrastive estimation for robust network embedding H Xiong, J Yan, Z Huang IEEE Transactions on Knowledge and Data Engineering 35 (5), 5017-5034, 2022 | 6 | 2022 |
Quantum-Inspired Tensorized Embedding with Application to Node Representation Learning H Xiong, Y Tang, W Tan, Y He, J Yan | 1 | 2022 |
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning H Xiong, Y Tang, X Ye, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space H Xiong, Y Tang, Y He, W Tan, J Yan The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark Y Tang, H Xiong, N Yang, T Xiao, J Yan The Twelfth International Conference on Learning Representations, 0 | | |