Carl Yang

发表

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining pdf

Lance Kaplan, Lance M. Kaplan, Sayantani Basu, 2019, ArXiv.

Query-Specific Knowledge Summarization with Entity Evolutionary Networks

Jinfeng Xiao, Lingrui Gan, Jiawei Han, 2019, CIKM.

Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization

Jiawei Han, Carl Yang, Jieyu Zhang, 2020, SIGIR.

Modeling Evolutionary State Graph for Time Series Prediction

Yang Yang, Xiang Ren, Carl Yang, 2019 .

Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark

Yizhou Sun, Yu Zhang, Jiawei Han, 2020, IEEE Transactions on Knowledge and Data Engineering.

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization pdf

Chao Zhang, Qi Zhu, Jiawei Han, 2020, ArXiv.

Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders

Jiawei Han, Carl Yang, Jieyu Zhang, 2019, WSDM.

GCN for HIN via Implicit Utilization of Attention and Meta-Paths pdf

Philip S. Yu, Di Jin, Dongxiao He, 2020, IEEE Transactions on Knowledge and Data Engineering.

Mathematical foundations of the GraphBLAS

Franz Franchetti, David A. Bader, John D. Owens, 2016, 2016 IEEE High Performance Extreme Computing Conference (HPEC).

Secure Network Release with Link Privacy pdf

Bo Li, Carl Yang, Haonan Wang, 2020, ArXiv.

Non-local Attention Learning on Large Heterogeneous Information Networks

Carl Yang, Yuxin Xiao, Chengxiang Zhai, 2019, 2019 IEEE International Conference on Big Data (Big Data).

cube2net: Efficient Query-Specific Network Construction with Data Cube Organization

Jiawei Han, Carl Yang, Carl Yang, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines

Xiangnan He, Yang Liu, Carl Yang, 2020, SIGIR.

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond pdf

Yizhou Sun, Yu Zhang, Jiawei Han, 2020, ArXiv.

A Comparative Study on Exact Triangle Counting Algorithms on the GPU

John D. Owens, Carl Yang, Leyuan Wang, 2016, HPGP@HPDC.

When Do GNNs Work: Understanding and Improving Neighborhood Aggregation

Raymond Chi-Wing Wong, Jiawei Han, Carl Yang, 2020, IJCAI.

Neural Embedding Propagation on Heterogeneous Networks

Jiawei Han, Carl Yang, Jieyu Zhang, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks

Jure Leskovec, Aditya Pal, Jiawei Han, 2020, KDD.

Time-Series Event Prediction with Evolutionary State Graph

Yang Yang, Xiang Ren, Carl Yang, 2020, WSDM.

Accelerating DNN Inference with GraphBLAS and the GPU

John D. Owens, Carl Yang, Zhongyi Lin, 2019, 2019 IEEE High Performance Extreme Computing Conference (HPEC).

RASE: Relationship Aware Social Embedding

Carl Yang, Zongjian He, Aravind Sankar, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Differentiable Multi-aspect Network Embedding

Donghyun Kim, Qi Zhu, Jiawei Han, 2020, KDD.

Conditional Structure Generation through Graph Variational Generative Adversarial Nets

Wenhan Shi, Pan Li, Carl Yang, 2019, NeurIPS.

Federated Graph Classification over Non-IID Graphs pdf

Carl Yang, Li Xiong, Jing Ma, 2021, NeurIPS.

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis pdf

Carl Yang, Lifang He, Yanqiao Zhu, 2021, ArXiv.

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction pdf

Jiawei Han, Carl Yang, Zecheng Zhang, 2021, ArXiv.

Time-Series Event Prediction with Evolutionary State Graph

Yang Yang, Carl Yang, Ziqiang Cheng, 2020, WSDM.

Structure-Preserving Graph Kernel for Brain Network Classification pdf

Hao Peng, Carl Yang, Lichao Sun, 2021, ArXiv.

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs pdf

Pan Li, Carl Yang, Hejie Cui, 2021, ArXiv.

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning pdf

Shu Wu, Carl Yang, Yichen Xu, 2021, ArXiv.

Secure Deep Graph Generation with Link Differential Privacy

Liang Chen, Carl Yang, Lichao Sun, 2021, IJCAI.

Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration

Carl Yang, Hejie Cui, Xuan Kan, 2021, ECML/PKDD.

Controllable Gradient Item Retrieval

Chang Zhou, Jingrui He, Carl Yang, 2021, WWW.

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis pdf

Carl Yang, Lichao Sun, Lifang He, 2021, ArXiv.

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks

Lifang He, Hao Peng, Carl Yang, 2021, IJCAI.

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract)

Jiawei Han, Carl Yang, Jieyu Zhang, 2021, IJCAI.

Understanding Structural Vulnerability in Graph Convolutional Networks pdf

Zibin Zheng, Carl Yang, Yang Liu, 2021, IJCAI.

Lightweight Visual Question Answering using Scene Graphs

Thomas Lukasiewicz, Carl Yang, Ramraj Chandradevan, 2021, CIKM.

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network

Zibin Zheng, Liang Chen, Kun Xu, 2021, WSDM.

Multi-Facet Recommender Networks with Spherical Optimization

Carl Yang, Xiaolin Zheng, Yanchao Tan, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation pdf

Carl Yang, Ying Guo, Hejie Cui, 2021, ArXiv.

Subgraph Federated Learning with Missing Neighbor Generation pdf

Carl Yang, Lichao Sun, Xiaoxiao Li, 2021, NeurIPS.