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Song Wang
Song Wang
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Title
Cited by
Cited by
Year
Fairness in graph mining: A survey
Y Dong, J Ma, S Wang, C Chen, J Li
IEEE Transactions on Knowledge and Data Engineering, 2023
952023
Reform: Error-aware few-shot knowledge graph completion
S Wang, X Huang, C Chen, L Wu, J Li
Proceedings of the 30th ACM International Conference on Information …, 2021
472021
Hierarchical heterogeneous graph representation learning for short text classification
Y Wang, S Wang, Q Yao, D Dou
arXiv preprint arXiv:2111.00180, 2021
382021
Knowledge Editing for Large Language Models: A Survey
S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li
arXiv preprint arXiv:2310.16218, 2023
302023
Task-adaptive few-shot node classification
S Wang, K Ding, C Zhang, C Chen, J Li
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
302022
On structural explanation of bias in graph neural networks
Y Dong, S Wang, Y Wang, T Derr, J Li
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
292022
Interpreting unfairness in graph neural networks via training node attribution
Y Dong, S Wang, J Ma, N Liu, J Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7441-7449, 2023
232023
Faith: Few-shot graph classification with hierarchical task graphs
S Wang, Y Dong, X Huang, C Chen, J Li
arXiv preprint arXiv:2205.02435, 2022
182022
Large Language Models for Data Annotation: A Survey
Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ...
arXiv preprint arXiv:2402.13446, 2024
162024
Transductive linear probing: a novel framework for few-shot node classification
Z Tan, S Wang, K Ding, J Li, H Liu
Learning on Graphs Conference, 4: 1-4: 21, 2022
152022
Federated few-shot learning
S Wang, X Fu, K Ding, C Chen, H Chen, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
142023
Graph few-shot learning with task-specific structures
S Wang, C Chen, J Li
Advances in Neural Information Processing Systems 35, 38925-38936, 2022
132022
Recognizing medical search query intent by few-shot learning
Y Wang, S Wang, Y Li, D Dou
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
112022
Interpreting pretrained language models via concept bottlenecks
Z Tan, L Cheng, S Wang, B Yuan, J Li, H Liu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 56-74, 2024
92024
Few-shot node classification with extremely weak supervision
S Wang, Y Dong, K Ding, C Chen, J Li
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
92023
Noise-robust fine-tuning of pretrained language models via external guidance
S Wang, Z Tan, R Guo, J Li
arXiv preprint arXiv:2311.01108, 2023
62023
Contrastive Meta-Learning for Few-shot Node Classification
S Wang, Z Tan, H Liu, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Fair few-shot learning with auxiliary sets
S Wang, J Ma, L Cheng, J Li
arXiv preprint arXiv:2308.14338, 2023
22023
Safety in Graph Machine Learning: Threats and Safeguards
S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ...
arXiv preprint arXiv:2405.11034, 2024
2024
Graph learning for particle accelerator operations
S Wang, C Tennant, D Moser, T Larrieu, J Li
Frontiers in big Data 7, 1366469, 2024
2024
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