NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases. - Tara Safavi; Jing Zhu 005; Danai Koutra (EMNLP (1), 2021)

Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. - Jing Zhu 005; Xingyu Lu; Mark Heimann; Danai Koutra (SDM, 2021)

CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. - Jing Zhu 005; Danai Koutra; Mark Heimann (CIKM, 2022)

Touch and Go: Learning from Human-Collected Vision and Touch. - Fengyu Yang; Chenyang Ma; Jiacheng Zhang; Jing Zhu 005; Wenzhen Yuan 001; Andrew Owens (NeurIPS, 2022)

SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. - Jing Zhu 005; Yuhang Zhou; Vassilis N. Ioannidis; Shengyi Qian 001; Wei Ai 002; Xiang Song 003; Danai Koutra (CoRR, 2023)

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. - Yuhang Zhou; Jing Zhu 005; Paiheng Xu; Xiaoyu Liu 003; Xiyao Wang; Danai Koutra; Wei Ai 002; Furong Huang (EMNLP (Findings), 2024)

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. - Jiong Zhu; Gaotang Li; Yao-An Yang; Jing Zhu 005; Xuehao Cui; Danai Koutra (NeurIPS, 2024)

TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. - Jing Zhu 005; Xiang Song 003; Vassilis N. Ioannidis; Danai Koutra; Christos Faloutsos (SIGIR, 2024)

Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. - Jing Zhu 005; Yuhang Zhou; Vassilis N. Ioannidis; Shengyi Qian 001; Wei Ai 002; Xiang Song 003; Danai Koutra (WSDM, 2024)

LinkGPT: Teaching Large Language Models To Predict Missing Links. - Zhongmou He; Jing Zhu 005; Shengyi Qian 001; Joyce Chai; Danai Koutra (CoRR, 2024)

Multimodal Graph Benchmark. - Jing Zhu 005; Yuhang Zhou; Shengyi Qian 001; Zhongmou He; Tong Zhao 003; Neil Shah; Danai Koutra (CoRR, 2024)

Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning. - Jing Zhu 005; Yuhang Zhou; Shengyi Qian 001; Zhongmou He; Tong Zhao 003; Neil Shah; Danai Koutra (CVPR, 2025)

Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics. - Jing Zhu 005; Mingxuan Ju; Yozen Liu; Danai Koutra; Neil Shah; Tong Zhao 003 (CoRR, 2025)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. - Yuhang Zhou; Jing Zhu 005; Shengyi Qian 001; Zhuokai Zhao; Xiyao Wang; Xiaoyu Liu 003; Ming Li; Paiheng Xu; Wei Ai 002; Furong Huang (CoRR, 2025)