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Yuxiao Dong
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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
25182020
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
24702017
Heterogeneous Graph Transformer
Z Hu, Y Dong, K Wang, Y Sun
Proceedings of The Web Conference 2020, 2704-2710, 2020
11432020
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
10442018
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
8742020
Glm-130b: An open bilingual pre-trained model
A Zeng, X Liu, Z Du, Z Wang, H Lai, M Ding, Z Yang, Y Xu, W Zheng, X Xia, ...
arXiv preprint arXiv:2210.02414, 2022
7422022
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
5892018
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
5062020
Microsoft Academic Graph: When experts are not enough
K Wang, Z Shen, C Huang, CH Wu, Y Dong, A Kanakia
Quantitative Science Studies 1 (1), 396-413, 2020
4882020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
W Feng, J Zhang, Y Dong, Y Han, H Luan, Q Xu, Q Yang, E Kharlamov, ...
Advances in Neural Information Processing Systems 33, 2020
3762020
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
3612022
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
W Hu, M Fey, H Ren, M Nakata, Y Dong, J Leskovec
arXiv preprint arXiv:2103.09430, 2021
3542021
Link prediction and recommendation across heterogeneous social networks
Y Dong, J Tang, S Wu, J Tian, NV Chawla, J Rao, H Cao
2012 IEEE 12th International Conference on Data Mining, 181-190, 2012
3502012
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
2492014
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
2422021
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
213*2023
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
2112023
ProNE: Fast and Scalable Network Representation Learning
J Zhang, Y Dong, Y Wang, J Tang, M Ding
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
2062019
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
2002019
Agentbench: Evaluating llms as agents
X Liu, H Yu, H Zhang, Y Xu, X Lei, H Lai, Y Gu, H Ding, K Men, K Yang, ...
arXiv preprint arXiv:2308.03688, 2023
199*2023
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