An Evolving model of online bipartite networks - Chu-Xu Zhang; Zi-Ke Zhang; Chuang Liu 001 (CoRR, 2012)

Epidemic Spreading on Weighted Complex Networks. - Ye Sun; Chuang Liu 001; Chu-Xu Zhang; Zi-Ke Zhang (CoRR, 2013)

Emergence of Blind Areas in Information Spreading. - Zi-Ke Zhang; Chu-Xu Zhang; Xiao-Pu Han; Chuang Liu 001 (CoRR, 2013)

Information Filtering via Collaborative User Clustering Modeling. - Chu-Xu Zhang; Zi-Ke Zhang; Lu Yu 006; Chuang Liu 001; Hao Liu; Xiao-Yong Yan (CoRR, 2013)

A Novel Approach for Generating Personalized Mention List on Micro-Blogging System. - Ge Zhou; Lu Yu 006; Chu-Xu Zhang; Chuang Liu 001; Zi-Ke Zhang; Jianlin Zhang (ICDM Workshops, 2015)

RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation. - Lu Yu 006; Ge Zhou; Chu-Xu Zhang; Junming Huang 001; Chuang Liu 001; Zi-Ke Zhang (WAIM (1), 2016)

AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction. - Chuxu Zhang; Lu Yu 006; Jie Lu; Tao Zhou 001; Zi-Ke Zhang (WAIM (2), 2016)

Identifying the Academic Rising Stars. - Chuxu Zhang; Chuang Liu 001; Lu Yu 006; Zi-Ke Zhang; Tao Zhou 001 (CoRR, 2016)

Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking. - Chuxu Zhang; Chuang Liu 001; Lu Yu 006; Zi-Ke Zhang; Tao Zhou 001 (APWeb/WAIM (1), 2017)

A Community-Aware Approach to Minimizing Dissemination in Graphs. - Chuxu Zhang; Lu Yu 006; Chuang Liu 001; Zi-Ke Zhang; Tao Zhou 001 (APWeb/WAIM (1), 2017)

ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. - Chuxu Zhang; Lu Yu 006; Xiangliang Zhang 001; Nitesh V. Chawla (IEEE BigData, 2017)

Collaborative User Network Embedding for Social Recommender Systems. - Chuxu Zhang; Lu Yu 006; Yan Wang 002; Chirag Shah 001; Xiangliang Zhang 001 (SDM, 2017)

WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. - Lu Yu 006; Chuxu Zhang; Shichao Pei; Guolei Sun; Xiangliang Zhang 001 (AAAI, 2018)

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. - Chuxu Zhang; Lu Yu 006; Xiangliang Zhang 001; Nitesh V. Chawla (IJCAI, 2018)

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. - Chuxu Zhang; Chao Huang 001; Lu Yu 006; Xiangliang Zhang 001; Nitesh V. Chawla (WWW, 2018)

CARL: Content-Aware Representation Learning for Heterogeneous Networks. - Chuxu Zhang; Ananthram Swami; Nitesh V. Chawla (CoRR, 2018)

Multi-Order Attentive Ranking Model for Sequential Recommendation. - Lu Yu 006; Chuxu Zhang; Shangsong Liang; Xiangliang Zhang 001 (AAAI, 2019)

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. - Chuxu Zhang; Dongjin Song; Yuncong Chen; Xinyang Feng; Cristian Lumezanu; Wei Cheng 002; Jingchao Ni; Bo Zong; Haifeng Chen; Nitesh V. Chawla (AAAI, 2019)

Deep Dynamic Fusion Network for Traffic Accident Forecasting. - Chao Huang 001; Chuxu Zhang; Peng Dai 001; Liefeng Bo (CIKM, 2019)

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. - Chao Huang 001; Xian Wu 003; Xuchao Zhang; Chuxu Zhang; Jiashu Zhao; Dawei Yin; Nitesh V. Chawla (KDD, 2019)

Heterogeneous Graph Neural Network. - Chuxu Zhang; Dongjin Song; Chao Huang 001; Ananthram Swami; Nitesh V. Chawla (KDD, 2019)

SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks. - Chuxu Zhang; Ananthram Swami; Nitesh V. Chawla (WSDM, 2019)

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. - Chao Huang 001; Chuxu Zhang; Jiashu Zhao; Xian Wu 003; Nitesh V. Chawla; Dawei Yin (WWW, 2019)

Graph Few-Shot Learning via Knowledge Transfer. - Huaxiu Yao; Chuxu Zhang; Ying Wei 001; Meng Jiang 001; Suhang Wang; Junzhou Huang; Nitesh V. Chawla; Zhenhui Li (AAAI, 2020)

Few-Shot Knowledge Graph Completion. - Chuxu Zhang; Huaxiu Yao; Chao Huang 001; Meng Jiang 001; Zhenhui Li; Nitesh V. Chawla (AAAI, 2020)

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. - Zhichun Guo; Wenhao Yu 002; Chuxu Zhang; Meng Jiang 001; Nitesh V. Chawla (CIKM, 2020)

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. - Chuxu Zhang; Lu Yu 006; Mandana Saebi; Meng Jiang 001; Nitesh V. Chawla (EMNLP (Findings), 2020)

Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. - Chao Huang 001; Chuxu Zhang; Peng Dai 001; Liefeng Bo (IJCAI, 2020)

Multi-modal Network Representation Learning. - Chuxu Zhang; Meng Jiang 001; Xiangliang Zhang 001; Yanfang Ye 001; Nitesh V. Chawla (KDD, 2020)

Learning from Heterogeneous Networks: Methods and Applications. - Chuxu Zhang (WSDM, 2020)

Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. - Xian Wu 003; Chao Huang 001; Chuxu Zhang; Nitesh V. Chawla (WWW, 2020)

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. - Mandana Saebi; Steven J. Krieg; Chuxu Zhang; Meng Jiang 001; Nitesh V. Chawla (CoRR, 2020)

Addressing Class-Imbalance Problem in Personalized Ranking. - Lu Yu 006; Shichao Pei; Chuxu Zhang; Shangsong Liang; Xiao Bai 002; Xiangliang Zhang 001 (CoRR, 2020)

Self-supervised Smoothing Graph Neural Networks. - Lu Yu 006; Shichao Pei; Chuxu Zhang; Lizhong Ding 001; Jun Zhou 011; Longfei Li; Xiangliang Zhang 001 (CoRR, 2020)

Recipe Representation Learning with Networks. - Yijun Tian 001; Chuxu Zhang; Ronald A. Metoyer; Nitesh V. Chawla (CIKM, 2021)

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. - Jianfei Zhang 002; Ai-Te Kuo; Jianan Zhao 002; Qianlong Wen; Erin L. Winstanley; Chuxu Zhang; Yanfang Ye 001 (CIKM, 2021)

Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. - Yiyue Qian; Yiming Zhang 002; Yanfang Ye 001; Chuxu Zhang (IJCAI, 2021)

Data Efficient Learning on Graphs. - Chuxu Zhang; Jundong Li; Meng Jiang 001 (KDD, 2021)

Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. - Yiyue Qian; Yiming Zhang 002; Yanfang Ye 001; Chuxu Zhang (NeurIPS, 2021)

Multi-view Self-supervised Heterogeneous Graph Embedding. - Jianan Zhao 002; Qianlong Wen; Shiyu Sun; Yanfang Ye 001; Chuxu Zhang (ECML/PKDD (2), 2021)

Few-Shot Graph Learning for Molecular Property Prediction. - Zhichun Guo; Chuxu Zhang; Wenhao Yu 002; John Herr; Olaf Wiest; Meng Jiang 001; Nitesh V. Chawla (WWW, 2021)

Heterogeneous Temporal Graph Neural Network. - Yujie Fan; Mingxuan Ju; Chuxu Zhang; Liang Zhao 002; Yanfang Ye 001 (CoRR, 2021)

Recipe Recommendation With Hierarchical Graph Attention Network. - Yijun Tian 001; Chuxu Zhang; Ronald A. Metoyer; Nitesh V. Chawla (Frontiers Big Data, 2021)

Inductive Contextual Relation Learning for Personalization. - Chuxu Zhang; Huaxiu Yao; Lu Yu 006; Chao Huang 001; Dongjin Song; Haifeng Chen; Meng Jiang 001; Nitesh V. Chawla (ACM Trans. Inf. Syst., 2021)

SAIL: Self-Augmented Graph Contrastive Learning. - Lu Yu 006; Shichao Pei; Lizhong Ding 001; Jun Zhou 011; Longfei Li; Chuxu Zhang; Xiangliang Zhang 001 (AAAI, 2022)

A Biased Sampling Method for Imbalanced Personalized Ranking. - Lu Yu 006; Shichao Pei; Feng Zhu 011; Longfei Li; Jun Zhou 011; Chuxu Zhang; Xiangliang Zhang 001 (CIKM, 2022)

Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. - Yiyue Qian; Yiming Zhang 002; Nitesh V. Chawla; Yanfang Ye 001; Chuxu Zhang (CIKM, 2022)

Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. - Chunhui Zhang; Chao Huang 001; Youhuan Li; Xiangliang Zhang 001; Yanfang Ye 001; Chuxu Zhang (CIKM, 2022)

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. - Mingxuan Ju; Wenhao Yu 002; Tong Zhao 003; Chuxu Zhang; Yanfang Ye 001 (EMNLP (Findings), 2022)

GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. - Jiele Wu; Chunhui Zhang; Zheyuan Liu 010; Erchi Zhang; Steven Wilson; Chuxu Zhang (ICDM, 2022)

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. - Yijun Tian 001; Chuxu Zhang; Zhichun Guo; Chao Huang 001; Ronald A. Metoyer; Nitesh V. Chawla (IJCAI, 2022)

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. - Yijun Tian 001; Chuxu Zhang; Zhichun Guo; Yihong Ma; Ronald A. Metoyer; Nitesh V. Chawla (IJCAI, 2022)

Few-Shot Learning on Graphs. - Chuxu Zhang; Kaize Ding; Jundong Li; Xiangliang Zhang 001; Yanfang Ye 001; Nitesh V. Chawla; Huan Liu 001 (IJCAI, 2022)

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). - Jianfei Zhang 002; Ai-Te Kuo; Jianan Zhao 002; Qianlong Wen; Erin L. Winstanley; Chuxu Zhang; Yanfang Ye 001 (IJCAI, 2022)

Toward Graph Minimally-Supervised Learning. - Kaize Ding; Chuxu Zhang; Jie Tang 001; Nitesh V. Chawla; Huan Liu 001 (KDD, 2022)

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. - Yiyue Qian; Yiming Zhang 002; Qianlong Wen; Yanfang Ye 001; Chuxu Zhang (KDD, 2022)

Task-Adaptive Few-shot Node Classification. - Song Wang 013; Kaize Ding; Chuxu Zhang; Chen Chen 022; Jundong Li (KDD, 2022)

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. - Qianlong Wen; Zhongyu Ouyang; Jianfei Zhang 002; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (KDD, 2022)

Self-Supervised Hypergraph Transformer for Recommender Systems. - Lianghao Xia; Chao Huang 001; Chuxu Zhang (KDD, 2022)

Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. - Qiannan Zhang; Xiaodong Wu; Qiang Yang 015; Chuxu Zhang; Xiangliang Zhang 001 (KDD, 2022)

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. - Yiyue Qian; Chunhui Zhang; Yiming Zhang 002; Qianlong Wen; Yanfang Ye 001; Chuxu Zhang (NeurIPS, 2022)

Label-invariant Augmentation for Semi-Supervised Graph Classification. - Han Yue; Chunhui Zhang; Chuxu Zhang; Hongfu Liu 001 (NeurIPS, 2022)

Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. - Yiming Zhang 002; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (SDM, 2022)

Heterogeneous Temporal Graph Neural Network. - Yujie Fan; Mingxuan Ju; Chuxu Zhang; Yanfang Ye 001 (SDM, 2022)

HG-Meta: Graph Meta-learning over Heterogeneous Graphs. - Qiannan Zhang; Xiaodong Wu; Qiang Yang 015; Chuxu Zhang; Xiangliang Zhang 001 (SDM, 2022)

Interpretable Relation Learning on Heterogeneous Graphs. - Qiang Yang 015; Qiannan Zhang; Chuxu Zhang; Xiangliang Zhang 001 (WSDM, 2022)

Few-Shot Learning on Graphs: A Survey. - Chuxu Zhang; Kaize Ding; Jundong Li; Xiangliang Zhang 001; Yanfang Ye 001; Nitesh V. Chawla; Huan Liu 001 (CoRR, 2022)

Graph-based Molecular Representation Learning. - Zhichun Guo; Bozhao Nan; Yijun Tian 001; Olaf Wiest; Chuxu Zhang; Nitesh V. Chawla (CoRR, 2022)

NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. - Yijun Tian 001; Chuxu Zhang; Zhichun Guo; Xiangliang Zhang 001; Nitesh V. Chawla (CoRR, 2022)

Adversarial Cross-View Disentangled Graph Contrastive Learning. - Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Contrastive Graph Few-Shot Learning. - Chunhui Zhang; Hongfu Liu 001; Jundong Li; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. - Chunhui Zhang; Chao Huang 001; Yijun Tian 001; Qianlong Wen; Zhongyu Ouyang; Youhuan Li; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Editorial: Computational Behavioral Modeling for Big User Data. - Meng Jiang 001; Chuxu Zhang; Xiangliang Zhang 001; Neil Shah (Frontiers Big Data, 2022)

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. - Mandana Saebi; Steven Kreig; Chuxu Zhang; Meng Jiang 001; Tomasz Kajdanowicz; Nitesh V. Chawla (Inf. Fusion, 2022)

Grounded Task Prioritization with Context-Aware Sequential Ranking. - Chuxu Zhang; Julia Kiseleva; Sujay Kumar Jauhar; Ryen W. White (ACM Trans. Inf. Syst., 2022)

Heterogeneous Graph Masked Autoencoders. - Yijun Tian 001; Kaiwen Dong; Chunhui Zhang; Chuxu Zhang; Nitesh V. Chawla (AAAI, 2023)

Boosting Graph Neural Networks via Adaptive Knowledge Distillation. - Zhichun Guo; Chunhui Zhang; Yujie Fan; Yijun Tian 001; Chuxu Zhang; Nitesh V. Chawla (AAAI, 2023)

Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. - Mingxuan Ju; Yujie Fan; Chuxu Zhang; Yanfang Ye 001 (AAAI, 2023)

Towards Societal Impact of AI. - Chuxu Zhang (AAAI, 2023)

Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. - Qiannan Zhang; Shichao Pei; Qiang Yang 015; Chuxu Zhang; Nitesh V. Chawla; Xiangliang Zhang 001 (AAAI, 2023)

Heterogeneous Temporal Graph Neural Network Explainer. - Jiazheng Li 012; Chunhui Zhang; Chuxu Zhang (CIKM, 2023)

A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. - Qianlong Wen; Jiazheng Li 012; Chuxu Zhang; Yanfang Ye 001 (CIKM, 2023)

Hypergraph Contrastive Learning for Drug Trafficking Community Detection. - Tianyi Ma; Yiyue Qian; Chuxu Zhang; Yanfang Ye 001 (ICDM, 2023)

Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. - Yijun Tian 001; Chuxu Zhang; Zhichun Guo; Xiangliang Zhang 001; Nitesh V. Chawla (ICLR, 2023)

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. - Mingxuan Ju; Tong Zhao 003; Qianlong Wen; Wenhao Yu 002; Neil Shah; Yanfang Ye 001; Chuxu Zhang (ICLR, 2023)

Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. - Chunhui Zhang; Yijun Tian 001; Mingxuan Ju; Zheyuan Liu 010; Yanfang Ye 001; Nitesh V. Chawla; Chuxu Zhang (ICLR, 2023)

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. - Chunhui Zhang; Chao Huang 001; Yijun Tian 001; Qianlong Wen; Zhongyu Ouyang; Youhuan Li; Yanfang Ye 001; Chuxu Zhang (ICML, 2023)

Graph-based Molecular Representation Learning. - Zhichun Guo; Kehan Guo; Bozhao Nan; Yijun Tian 001; Roshni G. Iyer; Yihong Ma; Olaf Wiest; Xiangliang Zhang 001; Wei Wang 010; Chuxu Zhang; Nitesh V. Chawla (IJCAI, 2023)

Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. - Qiang Yang 015; Changsheng Ma; Qiannan Zhang; Xin Gao 001; Chuxu Zhang; Xiangliang Zhang 001 (KDD, 2023)

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. - Chuxu Zhang; Dongkuan Xu; Mojan Javaheripi; Subhabrata Mukherjee; Lingfei Wu 001; Yinglong Xia; Jundong Li; Meng Jiang 001; Yanzhi Wang (KDD, 2023)

Self-Supervised Graph Structure Refinement for Graph Neural Networks. - Jianan Zhao 002; Qianlong Wen; Mingxuan Ju; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2023)

Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. - Qiang Yang 015; Changsheng Ma; Qiannan Zhang; Xin Gao 001; Chuxu Zhang; Xiangliang Zhang 001 (WSDM, 2023)

Fair Graph Representation Learning via Diverse Mixture-of-Experts. - Zheyuan Liu 010; Chunhui Zhang; Yijun Tian 001; Erchi Zhang; Chao Huang 001; Yanfang Ye 001; Chuxu Zhang (WWW, 2023)

Multi-Modal Self-Supervised Learning for Recommendation. - Wei Wei 027; Chao Huang 001; Lianghao Xia; Chuxu Zhang (WWW, 2023)

Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. - Chunhui Zhang; Hongfu Liu 001; Jundong Li; Yanfang Ye 001; Chuxu Zhang (Trans. Mach. Learn. Res., 2023)

Mitigating Emergent Robustness Degradation while Scaling Graph Learning. - Xiangchi Yuan; Chunhui Zhang; Yijun Tian 001; Yanfang Ye 001; Chuxu Zhang (ICLR, 2024)

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. - Qianlong Wen; Mingxuan Ju; Zhongyu Ouyang; Chuxu Zhang; Yanfang Ye 001 (ICML, 2024)

How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? - Zhongyu Ouyang; Chunhui Zhang; Shifu Hou; Chuxu Zhang; Yanfang Ye 001 (ICWSM, 2024)

Subgraph Pooling: Tackling Negative Transfer on Graphs. - Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (IJCAI, 2024)

Graph Cross Supervised Learning via Generalized Knowledge. - Xiangchi Yuan; Yijun Tian 001; Chunhui Zhang; Yanfang Ye 001; Nitesh V. Chawla; Chuxu Zhang (KDD, 2024)

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. - Zheyuan Zhang; Zehong Wang; Shifu Hou; Evan Hall; Landon Bachman; Jasmine White; Vincent Galassi; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (KDD, 2024)

RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. - Chuxu Zhang; Dongkuan Xu; Kaize Ding; Jundong Li; Mojan Javaheripi; Subhabrata Mukherjee; Nitesh V. Chawla; Huan Liu 001 (KDD, 2024)

GFT: Graph Foundation Model with Transferable Tree Vocabulary. - Zehong Wang; Zheyuan Zhang; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (NeurIPS, 2024)

Symbolic Prompt Tuning Completes the App Promotion Graph. - Zhongyu Ouyang; Chunhui Zhang; Shifu Hou; Shang Ma; Chaoran Chen; Toby Li; Xusheng Xiao; Chuxu Zhang; Yanfang Ye 001 (ECML/PKDD (10), 2024)

GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning. - Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Chuxu Zhang; Yanfang Ye 001 (UAI, 2024)

Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. - Yiyue Qian; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (WWW (Companion Volume), 2024)

Data-efficient graph learning: Problems, progress, and prospects. - Kaize Ding; Yixin Liu 001; Chuxu Zhang; Jianling Wang (AI Mag., 2024)

UGMAE: A Unified Framework for Graph Masked Autoencoders. - Yijun Tian 001; Chuxu Zhang; Ziyi Kou; Zheyuan Liu 010; Xiangliang Zhang 001; Nitesh V. Chawla (CoRR, 2024)

Tackling Negative Transfer on Graphs. - Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2024)

Safety in Graph Machine Learning: Threats and Safeguards. - Song Wang 013; Yushun Dong; Binchi Zhang; Zihan Chen 002; Xingbo Fu; Yinhan He; Cong Shen 001; Chuxu Zhang; Nitesh V. Chawla; Jundong Li (CoRR, 2024)

Learning Cross-Task Generalities Across Graphs via Task-trees. - Zehong Wang; Zheyuan Zhang; Tianyi Ma; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2024)

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. - Tianyi Ma; Yiyue Qian; Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (ACL (Findings), 2025)

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. - Zheyuan Zhang; Yiyang Li; Nhi Ha Lan Le; Zehong Wang; Tianyi Ma; Vincent Galassi; Keerthiram Murugesan; Nuno Moniz; Werner Geyer; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (ACL (1), 2025)

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. - Zheyuan Zhang; Zehong Wang; Tianyi Ma; Varun Sameer Taneja; Sofia Nelson; Nhi Ha Lan Le; Keerthiram Murugesan; Mingxuan Ju; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (KDD (1), 2025)

Can LLMs Convert Graphs to Text-Attributed Graphs? - Zehong Wang; Sidney Liu; Zheyuan Zhang; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (NAACL (Long Papers), 2025)

RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan. - Ziming Li 004; Yuequn Dou; Youhuan Li; Xinhuan Chen; Chuxu Zhang (WSDM, 2025)

Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. - Yiyue Qian; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2025)

Training MLPs on Graphs without Supervision. - Zehong Wang; Zheyuan Zhang; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2025)

Resource-Efficient Learning for the Web. - Chuxu Zhang; Kaize Ding; Jundong Li; Dongkuan Xu; Haoyu Wang 004; Derek Zhiyuan Cheng; Huan Liu 001 (WWW (Companion Volume), 2025)

RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. - Chuxu Zhang; Kaize Ding; Jundong Li; Dongkuan Xu; Haoyu Wang 004; Derek Zhiyuan Cheng; Huan Liu 001 (WWW (Companion Volume), 2025)

Instance-Aware Graph Prompt Learning. - Jiazheng Li 012; Jundong Li; Chuxu Zhang (Trans. Mach. Learn. Res., 2025)

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. - Song Wang 013; Zhen Tan 001; Yaochen Zhu; Chuxu Zhang; Jundong Li (Trans. Mach. Learn. Res., 2025)

Neural Graph Pattern Machine. - Zehong Wang; Zheyuan Zhang; Tianyi Ma; Nitesh V. Chawla; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

Graph Neural Networks for Databases: A Survey. - Ziming Li 004; Youhuan Li; Yuyu Luo; Guoliang Li 001; Chuxu Zhang (CoRR, 2025)

Adaptive Expansion for Hypergraph Learning. - Tianyi Ma; Yiyue Qian; Shinan Zhang; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. - Jiazheng Li 012; Lu Yu 006; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Yanfang Ye 001; Chuxu Zhang (CoRR, 2025)

Graph Foundation Models: A Comprehensive Survey. - Zehong Wang; Zheyuan Liu 010; Tianyi Ma; Jiazheng Li 012; Zheyuan Zhang; Xingbo Fu; Yiyang Li; Zhengqing Yuan; Wei Song; Yijun Ma; Qingkai Zeng 001; Xiusi Chen; et al. (CoRR, 2025)

AutoData: A Multi-Agent System for Open Web Data Collection. - Tianyi Ma; Yiyue Qian; Zheyuan Zhang; Zehong Wang; Xiaoye Qian; Feifan Bai; Yifan Ding; Xuwei Luo; Shinan Zhang; Keerthiram Murugesan; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

Scalable Graph Generative Modeling via Substructure Sequences. - Zehong Wang; Zheyuan Zhang; Tianyi Ma; Chuxu Zhang; Yanfang Ye 001 (CoRR, 2025)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. - Xingbo Fu; Zehong Wang; Zihan Chen 002; Jiazheng Li 012; Yaochen Zhu; Zhen Lei 001; Cong Shen 001; Yanfang Ye 001; Chuxu Zhang; Jundong Li (CoRR, 2025)

Knowledge Distillation on Graphs: A Survey. - Yijun Tian 001; Shichao Pei; Xiangliang Zhang 001; Chuxu Zhang; Nitesh V. Chawla (ACM Comput. Surv., 2025)