Chuxu Zhang's Webpage

Director: Professor Chuxu Zhang

School of Computing, College of Engineering
University of Connecticut (UConn)
352 Mansfield Rd, Storrs, CT 06269, USA
chuxu.zhang@uconn.edu

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Following are some recent publications. Please see the Google Scholar page for a complete list.

2024

ICML'24: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble

ICLR'24: Mitigating Emergent Robustness Degradation while Scaling Graph Learning

KDD'24: Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

KDD'24: Graph Cross Supervised Learning via Generalized Knowledge

UAI'24: GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning

WWW'24: Dual-level Hypergraph Contrastive Learning with Adaptive Temperature

ECML'24: Completing the App Promotion Graph with Symbolic Prompting

IJCAI'24: Subgraph Pooling: Tackling Negative Transfer on Graphs

2023

ICML'23: Less Graph Data Can Bring Better Class-Balanced Representations

ICLR'23: Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

ICLR'23: Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization

ICLR'23: Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency

KDD'23: Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation

WWW'23: Fair Graph Representation Learning via Diverse Mixture of Experts

WWW'23: Multi-Modal Adversarial Self-Supervised Learning for Recommendation

IJCAI'23: Graph-based Molecular Representation Learning

TMLR'23: Mitigating the Distribution Gap in Graph Few-shot Learning

CIKM'23: Heterogeneous Temporal Graph Neural Network Explainer

AAAI'23: Boosting Graph Neural Networks via Adaptive Knowledge Distillation

AAAI'23: Heterogeneous Graph Masked Autoencoders

WSDM'23: Self-Supervised Graph Structure Refinement for Graph Neural Networks

2022

NeurIPS'22: Label-invariant Augmentation for Semi- Supervised Graph Classification

NeurIPS'22: Co-Modality Imbalanced Graph Contrastive Learning

EMNLP'22: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

KDD'22: Task-Adaptive Few-shot Node Classification

KDD'22: Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction

KDD'22: Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer

ICDM'22: GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media

CIKM'22: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation

IJCAI'22: Multi-modal Recipe Representation Learning with Graph Neural Networks

IJCAI'22: Few-Shot Learning on Graphs

AAAI'22: Self-Augmented Graph Contrastive Learning

WSDM'22: Interpretable Relation Learning on Heterogeneous Graphs

Ealier

For ealier papers, please refer to Google Scholar page.