Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation.

[BibT_eX]

[DOI]

Zheyuan Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Graph Foundation Models: Challenges, Methods, and Open Questions.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Graph Neural Networks for Databases: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Beyond Message Passing: Neural Graph Pattern Machine.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Hypergraph Representation Learning with Adaptive Broadcasting and Receiving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2025

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Learning Cross-Task Generalities Across Graphs via Task-trees.

[BibT_eX]

[DOI]

CoRR, 2024

Tackling Negative Transfer on Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

UGMAE: A Unified Framework for Graph Masked Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2024

Data-efficient graph learning: Problems, progress, and prospects.

[BibT_eX]

[DOI]

AI Mag., 2024

Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Symbolic Prompt Tuning Completes the App Promotion Graph.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

GFT: Graph Foundation Model with Transferable Tree Vocabulary.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Cross Supervised Learning via Generalized Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Subgraph Pooling: Tackling Negative Transfer on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mitigating Emergent Robustness Degradation while Scaling Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Multi-Modal Self-Supervised Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Fair Graph Representation Learning via Diverse Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Self-Supervised Graph Structure Refinement for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph-based Molecular Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hypergraph Contrastive Learning for Drug Trafficking Community Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Heterogeneous Temporal Graph Neural Network Explainer.

[BibT_eX]

[DOI]

Jiazheng Li

Chunhui Zhang

Chuxu Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Societal Impact of AI.

[BibT_eX]

[DOI]

Chuxu Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Boosting Graph Neural Networks via Adaptive Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Heterogeneous Graph Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Grounded Task Prioritization with Context-Aware Sequential Ranking.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

Editorial: Computational Behavioral Modeling for Big User Data.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Contrastive Graph Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Cross-View Disentangled Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Graph-based Molecular Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Few-Shot Learning on Graphs: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Interpretable Relation Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

HG-Meta: Graph Meta-learning over Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Heterogeneous Temporal Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Label-invariant Augmentation for Semi-Supervised Graph Classification.

[BibT_eX]

[DOI]

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

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification.

[BibT_eX]

[DOI]

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

Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-Supervised Hypergraph Transformer for Recommender Systems.

[BibT_eX]

[DOI]

Lianghao Xia

Chao Huang

Chuxu Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Task-Adaptive Few-shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Toward Graph Minimally-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Few-Shot Learning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation.

[BibT_eX]

[DOI]

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

Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning.

[BibT_eX]

[DOI]

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

A Biased Sampling Method for Imbalanced Personalized Ranking.

[BibT_eX]

[DOI]

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

SAIL: Self-Augmented Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Inductive Contextual Relation Learning for Personalization.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2021

Recipe Recommendation With Hierarchical Graph Attention Network.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

Heterogeneous Temporal Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

Few-Shot Graph Learning for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-view Self-supervised Heterogeneous Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Data Efficient Learning on Graphs.

[BibT_eX]

[DOI]

Chuxu Zhang

Jundong Li

Meng Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Recipe Representation Learning with Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Self-supervised Smoothing Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Addressing Class-Imbalance Problem in Personalized Ranking.

[BibT_eX]

[DOI]

CoRR, 2020

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning from Heterogeneous Networks: Methods and Applications.

[BibT_eX]

[DOI]

Chuxu Zhang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Multi-modal Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Few-Shot Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Few-Shot Learning via Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks.

[BibT_eX]

[DOI]

Chuxu Zhang

Ananthram Swami

Nitesh V. Chawla

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Dynamic Fusion Network for Traffic Accident Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Order Attentive Ranking Model for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

CARL: Content-Aware Representation Learning for Heterogeneous Networks.

[BibT_eX]

[DOI]

Chuxu Zhang

Ananthram Swami

Nitesh V. Chawla

CoRR, 2018

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Collaborative User Network Embedding for Social Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A Community-Aware Approach to Minimizing Dissemination in Graphs.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - First International Joint Conference, 2017

Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Identifying the Academic Rising Stars.

[BibT_eX]

[DOI]

CoRR, 2016

AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

2015

A Novel Approach for Generating Personalized Mention List on Micro-Blogging System.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2013

Information Filtering via Collaborative User Clustering Modeling.

[BibT_eX]

[DOI]

CoRR, 2013

Emergence of Blind Areas in Information Spreading.

[BibT_eX]

[DOI]

CoRR, 2013

Epidemic Spreading on Weighted Complex Networks.

[BibT_eX]

[DOI]

CoRR, 2013

2012

An Evolving model of online bipartite networks

[BibT_eX]

[DOI]

Chu-Xu Zhang

Zi-Ke Zhang

Chuang Liu

CoRR, 2012

Chuxu Zhang

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