Jing Zhu

According to our database, Jing Zhu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multimodal Graph Benchmark.

Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra

CoRR, 2024

LinkGPT: Teaching Large Language Models To Predict Missing Links.

Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra

CoRR, 2024

Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.

Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning.

Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks.

Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.

Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks.

Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra

CoRR, 2023

2022

Touch and Go: Learning from Human-Collected Vision and Touch.

Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment.

Jing Zhu, Danai Koutra, Mark Heimann

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding.

Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases.

Tara Safavi, Jing Zhu, Danai Koutra

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021