Članki z zahtevami za javni dostop - Yuxiao DongVeč o tem
Na voljo nekje: 55
Open graph benchmark: Datasets for machine learning on graphs
W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec
Advances in Neural Information Processing Systems 33, 2020
Zahteve: US National Science Foundation, US Department of Defense, German Research …
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Zahteve: US National Science Foundation, US Department of Defense
Heterogeneous Graph Transformer
Z Hu, Y Dong, K Wang, Y Sun
Proceedings of The Web Conference 2020, 2704-2710, 2020
Zahteve: US National Science Foundation
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J Qiu, Y Dong, H Ma, J Li, K Wang, J Tang
Proceedings of the 11th ACM International Conference on Web Search and Data …, 2018
Zahteve: National Natural Science Foundation of China
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Zahteve: National Natural Science Foundation of China
DeepInf: Social Influence Prediction with Deep Learning
J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Zahteve: National Natural Science Foundation of China
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Z Hu, Y Dong, K Wang, KW Chang, Y Sun
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Zahteve: US National Science Foundation, US Department of Defense
GraphMAE: Self-supervised masked graph autoencoders
Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Zahteve: National Natural Science Foundation of China
CogVLM: Visual expert for pretrained language models
W Wang, Q Lv, W Yu, W Hong, J Qi, Y Wang, J Ji, Z Yang, L Zhao, X Song, ...
arXiv preprint arXiv:2311.03079, 2023
Zahteve: National Natural Science Foundation of China
ImageReward: Learning and evaluating human preferences for text-to-image generation
J Xu, X Liu, Y Wu, Y Tong, Q Li, M Ding, J Tang, Y Dong
Advances in Neural Information Processing Systems 36, 2023
Zahteve: National Natural Science Foundation of China
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
Q Zheng, X Xia, X Zou, Y Dong, S Wang, Y Xue, L Shen, Z Wang, A Wang, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Zahteve: National Natural Science Foundation of China
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Q Lv, M Ding, Q Liu, Y Chen, W Feng, S He, C Zhou, J Jiang, Y Dong, ...
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
Zahteve: National Natural Science Foundation of China
CogAgent: A visual language model for GUI agents
W Hong, W Wang, Q Lv, J Xu, W Yu, J Ji, Y Wang, Z Wang, Y Dong, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Zahteve: National Natural Science Foundation of China
Inferring user demographics and social strategies in mobile social networks
Y Dong, Y Yang, J Tang, Y Yang, NV Chawla
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Zahteve: National Natural Science Foundation of China
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems
T Huang, Y Dong, M Ding, Z Yang, W Feng, X Wang, J Tang
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
Zahteve: National Natural Science Foundation of China
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang
The World Wide Web Conference, 1509-1520, 2019
Zahteve: National Natural Science Foundation of China
Heterogeneous Network Representation Learning.
Y Dong, Z Hu, K Wang, Y Sun, J Tang
IJCAI 20, 4861-4867, 2020
Zahteve: US National Science Foundation, National Natural Science Foundation of China
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, B Shao, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Zahteve: National Natural Science Foundation of China
Neural Tensor Factorization for Temporal Interaction Learning
X Wu, B Shi, Y Dong, C Huang, NV Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
Zahteve: US National Science Foundation, US Department of Defense
TDGIA: Effective Injection Attacks on Graph Neural Networks
X Zou, Q Zheng, Y Dong, X Guan, E Kharlamov, J Lu, J Tang
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
Zahteve: National Natural Science Foundation of China
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