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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 35 (10), 10583-10602, 2023
1062023
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
472023
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
402021
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
352022
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
322022
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
282024
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
272023
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
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
162022
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
152023
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
142022
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
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
122024
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
112023
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
102023
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
ECAI 2023, 2517-2524, 2023
32023
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
S Wang, P Wang, T Zhou, Y Dong, Z Tan, J Li
arXiv preprint arXiv:2407.02408, 2024
22024
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
22024
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