Ranking on Network of Heterogeneous Information Networks. - Zhe Xu 007; Si Zhang; Yinglong Xia; Liang Xiong; Hanghang Tong (IEEE BigData, 2020)

A View-Adversarial Framework for Multi-View Network Embedding. - Dongqi Fu; Zhe Xu 007; Bo Li 026; Hanghang Tong; Jingrui He (CIKM, 2020)

DESTINE: Dense Subgraph Detection on Multi-Layered Networks. - Zhe Xu 007; Si Zhang; Yinglong Xia; Liang Xiong; Jiejun Xu; Hanghang Tong (CIKM, 2021)

Graph Sanitation with Application to Node Classification. - Zhe Xu 007; Hanghang Tong (CoRR, 2021)

Generalized Few-Shot Node Classification. - Zhe Xu 007; Kaize Ding; Yu-Xiong Wang; Huan Liu 001; Hanghang Tong (ICDM, 2022)

Graph Sanitation with Application to Node Classification. - Zhe Xu 007; Boxin Du; Hanghang Tong (WWW, 2022)

Learning Optimal Propagation for Graph Neural Networks. - Beidi Zhao; Boxin Du; Zhe Xu 007; Liangyue Li; Hanghang Tong (CoRR, 2022)

Data Augmentation for Deep Graph Learning: A Survey. - Kaize Ding; Zhe Xu 007; Hanghang Tong; Huan Liu 001 (SIGKDD Explor., 2022)

Kernel Ridge Regression-Based Graph Dataset Distillation. - Zhe Xu 007; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (KDD, 2023)

Node Classification Beyond Homophily: Towards a General Solution. - Zhe Xu 007; Yuzhong Chen; Qinghai Zhou; Yuhang Wu 002; Menghai Pan; Hao Yang 007; Hanghang Tong (KDD, 2023)

Natural and Artificial Dynamics in GNNs: A Tutorial. - Dongqi Fu; Zhe Xu 007; Hanghang Tong; Jingrui He (WSDM, 2023)

Topological Augmentation for Class-Imbalanced Node Classification. - Zhining Liu 002; Zhichen Zeng 001; Ruizhong Qiu; Hyunsik Yoo; David Zhou; Zhe Xu 007; Yada Zhu; Kommy Weldemariam; Jingrui He; Hanghang Tong (CoRR, 2023)

Invariant Graph Transformer. - Zhe Xu 007; Menghai Pan; Yuzhong Chen; Huiyuan Chen; Yuchen Yan; Mahashweta Das; Hanghang Tong (CoRR, 2023)

Graph Anomaly Detection with Adaptive Node Mixup. - Qinghai Zhou; Yuzhong Chen; Zhe Xu 007; Yuhang Wu 002; Menghai Pan; Mahashweta Das; Hao Yang 007; Hanghang Tong (CIKM, 2024)

Class-Imbalanced Graph Learning without Class Rebalancing. - Zhining Liu 002; Ruizhong Qiu; Zhichen Zeng 001; Hyunsik Yoo; David Zhou; Zhe Xu 007; Yada Zhu; Kommy Weldemariam; Jingrui He; Hanghang Tong (ICML, 2024)

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. - Haobo Xu; Yuchen Yan; Dingsu Wang; Zhe Xu 007; Zhichen Zeng 001; Tarek F. Abdelzaher; Jiawei Han 001; Hanghang Tong (ICML, 2024)

Graph Mixup on Approximate Gromov-Wasserstein Geodesics. - Zhichen Zeng 001; Ruizhong Qiu; Zhe Xu 007; Zhining Liu 002; Yuchen Yan; Tianxin Wei; Lei Ying 001; Jingrui He; Hanghang Tong (ICML, 2024)

Discrete-state Continuous-time Diffusion for Graph Generation. - Zhe Xu 007; Ruizhong Qiu; Yuzhong Chen; Huiyuan Chen; Xiran Fan; Menghai Pan; Zhichen Zeng 001; Mahashweta Das; Hanghang Tong (NeurIPS, 2024)

Masked Graph Transformer for Large-Scale Recommendation. - Huiyuan Chen; Zhe Xu 007; Chin-Chia Michael Yeh; Vivian Lai; Yan Zheng 001; Minghua Xu 003; Hanghang Tong (SIGIR, 2024)

Language Models are Graph Learners. - Zhe Xu 007; Kaveh Hassani; Si Zhang; Hanqing Zeng; Michihiro Yasunaga; Limei Wang; Dongqi Fu; Ning Yao; Bo Long; Hanghang Tong (CoRR, 2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Xiaoting Li 001; Zhe Xu 007; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong (CoRR, 2024)

Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams. - Qing Chen 001; Nan Chen; Wei Shuai; Guande Wu; Zhe Xu 007; Hanghang Tong; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Generalized few-shot node classification: toward an uncertainty-based solution. - Zhe Xu 007; Kaize Ding; Yu-Xiong Wang; Huan Liu 001; Hanghang Tong (Knowl. Inf. Syst., 2024)

Ask, and it shall be given: On the Turing completeness of prompting. - Ruizhong Qiu; Zhe Xu 007; Wenxuan Bao; Hanghang Tong (ICLR, 2025)

Flow Matching Meets Biology and Life Science: A Survey. - Zihao Li 006; Zhichen Zeng 001; Xiao Lin; Feihao Fang; Yanru Qu; Zhe Xu 007; Zhining Liu 002; Xuying Ning; Tianxin Wei; Ge Liu; Hanghang Tong; Jingrui He (CoRR, 2025)