Dgraph: A large-scale financial dataset for graph anomaly detection X Huang, Y Yang, Y Wang, C Wang, Z Zhang, J Xu, L Chen, ... Advances in Neural Information Processing Systems 35, 22765-22777, 2022 | 59 | 2022 |
Can abnormality be detected by graph neural networks? Z Chai, S You, Y Yang, S Pu, J Xu, H Cai, W Jiang IJCAI, 1945-1951, 2022 | 50 | 2022 |
Graph robustness benchmark: Benchmarking the adversarial robustness of graph machine learning Q Zheng, X Zou, Y Dong, Y Cen, D Yin, J Xu, Y Yang, J Tang arXiv preprint arXiv:2111.04314, 2021 | 44 | 2021 |
Dropmessage: Unifying random dropping for graph neural networks T Fang, Z Xiao, C Wang, J Xu, X Yang, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4267-4275, 2023 | 41 | 2023 |
Nguard: A game bot detection framework for netease mmorpgs J Tao, J Xu, L Gong, Y Li, C Fan, Z Zhao Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 39 | 2018 |
Unsupervised adversarially-robust representation learning on graphs J Xu, Y Yang, J Chen, X Jiang, C Wang, J Lu, Y Sun Proceedings of the 36th Conference on Artificial Intelligence, 2022 | 30 | 2022 |
Cross-lingual knowledge editing in large language models J Wang, Y Liang, Z Sun, Y Cao, J Xu, F Meng arXiv preprint arXiv:2309.08952, 2023 | 25 | 2023 |
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. Y Sun, H Deng, Y Yang, C Wang, J Xu, R Huang, L Cao, Y Wang, L Chen IJCAI, 2233-2240, 2022 | 23 | 2022 |
Robustness of deep learning models on graphs: A survey J Xu, J Chen, S You, Z Xiao, Y Yang, J Lu AI Open 2, 69-78, 2021 | 21 | 2021 |
Robust network enhancement from flawed networks J Xu, Y Yang, C Wang, Z Liu, J Zhang, L Chen, J Lu IEEE Transactions on Knowledge and Data Engineering 34 (7), 3507-3520, 2020 | 20 | 2020 |
Nguard+ an attention-based game bot detection framework via player behavior sequences J Xu, Y Luo, J Tao, C Fan, Z Zhao, J Lu ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-24, 2020 | 19 | 2020 |
Understanding translationese in cross-lingual summarization J Wang, F Meng, Y Liang, T Zhang, J Xu, Z Li, J Zhou arXiv preprint arXiv:2212.07220, 2022 | 16 | 2022 |
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! Y Cao, J Xu, C Yang, J Wang, Y Zhang, C Wang, L Chen, Y Yang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 13 | 2023 |
Better with less: A data-active perspective on pre-training graph neural networks J Xu, R Huang, X Jiang, Y Cao, C Yang, C Wang, Y Yang Advances in Neural Information Processing Systems 36, 56946-56978, 2023 | 12 | 2023 |
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs J Xu, Y Sun, X Jiang, Y Wang, Y Yang, C Wang, J Lu Proceedings of the 36th Conference on Artificial Intelligence, 2022 | 12* | 2022 |
DISC-FinLLM: A Chinese financial large language model based on multiple experts fine-tuning W Chen, Q Wang, Z Long, X Zhang, Z Lu, B Li, S Wang, J Xu, X Bai, ... arXiv preprint arXiv:2310.15205, 2023 | 10 | 2023 |
Unifying structure reasoning and language model pre-training for complex reasoning S Wang, Z Wei, J Xu, T Li, Z Fan arXiv preprint arXiv:2301.08913, 2023 | 8 | 2023 |
Netrl: Task-aware network denoising via deep reinforcement learning J Xu, Y Yang, S Pu, Y Fu, J Feng, W Jiang, J Lu, C Wang IEEE Transactions on Knowledge and Data Engineering 35 (1), 810-823, 2021 | 8 | 2021 |
Incomplete graph learning via attribute-structure decoupled variational auto-encoder X Jiang, Z Qin, J Xu, X Ao Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 5 | 2024 |
A unified continuous learning framework for multi-modal knowledge discovery and pre-training Z Fan, Z Wei, J Chen, S Wang, Z Li, J Xu, X Huang arXiv preprint arXiv:2206.05555, 2022 | 4 | 2022 |