Shah, Neil

31 publications

NeurIPS 2025 A Pre-Training Framework for Relational Data with Information-Theoretic Principles Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang

ICML 2025 Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu

ICML 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao

CVPR 2025 Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra

TMLR 2025 Node Duplication Improves Cold-Start Link Prediction Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V Chawla

LoG 2025 Towards Neural Scaling Laws on Graphs Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang

ICLR 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr

NeurIPS 2024 How Does Message Passing Improve Collaborative Filtering? Clark Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao

ICML 2024 LLaGA: Large Language and Graph Assistant Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang

ICML 2024 Position: Graph Foundation Models Are Already Here Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

ICLR 2024 Revisiting Link Prediction: A Data Perspective Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

NeurIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

ICLR 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah

NeurIPS 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

ICML 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning Rishav Chourasia, Neil Shah

NeurIPS 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-Time Augmentation Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye

ICLR 2023 Link Prediction with Non-Contrastive Learning William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah

ICML 2023 Linkless Link Prediction via Relational Distillation Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao

ICLR 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

ICLR 2023 Multi-Task Self-Supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang

NeurIPS 2022 A Practical, Progressively-Expressive GNN Lingxiao Zhao, Neil Shah, Leman Akoglu

ICLR 2022 Automated Self-Supervised Learning for Graphs Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang

LoG 2022 Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

ICLR 2022 From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah

NeurIPS 2022 GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun

ICLR 2022 Graph Condensation for Graph Neural Networks Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah

ICLR 2022 Graph-Less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah

ICLR 2022 Is Homophily a Necessity for Graph Neural Networks? Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang

AAAI 2021 Data Augmentation for Graph Neural Networks Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah

ECML-PKDD 2020 Semi-Supervised Multi-Aspect Detection of Misinformation Using Hierarchical Joint Decomposition Sara Abdali, Neil Shah, Evangelos E. Papalexakis

ECML-PKDD 2018 Beyond Outlier Detection: LookOut for Pictorial Explanation Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos