Graph Learning
We focus on developing machine learning techniques that leverage interdependency structures in complex relational domains including social, information, and physical networks.
Funded Projects
- Heterogeneous Hypergraph Modeling for Zero-shot Product Aspect Identification – ebay 2024
- Robust Real-Time Resource Forecasting for Pricing Scheme Design – Adobe 2022
- Time-Series Prediction for Cloud Demand Forecasting – Adobe 2020
Publications
2024
[t1] Deep Graph Learning based Relational Modeling for Time-series Forecasting
H. Chen
PhD Dissertation
[p1] Method and System for Similarity-based Multilabel Learning
H. Eldardiry and R. Rossi
PATENT 11972329 GRANTED 2024
[j1] A Reinforcement Learning Framework for N-ary Document-Level Relation Extraction
C. Yuan, R. Rossi, A. Katz, and H. Eldardiry
IEEE Transactions on Big Data 2024
Impact Factor 7.2
[j2] Graph Time-Series Modeling in Deep Learning: A Survey
H. Chen and H. Eldardiry
ACM Transactions on Knowledge Discovery from Data (TKDD) 2024
Impact Factor 5.3
[c1] Multilabel Zero-Shot Product Attribute-Value Extraction
J. Gong and H. Eldardiry
ACM International World Wide Web Conference (WWW) 2024
Acceptance Rate 20.2%
[c2] Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024
Acceptance Rate 15-30%
2023
[j3] Graph Deep Factors for Probabilistic Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM Transactions on Knowledge Discovery from Data (TKDD) 2023
Impact Factor 5
[c3] Hypergraph Neural Networks for Time-series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
IEEE International Conference on Big Data 2023
Acceptance Rate 17.4%
[c4] Knowledge-Enhanced Multilabel Few-Shot Product Attribute-Value Extraction
J. Gong, W. T. Chen, and H. Eldardiry
International Conference on Information and Knowledge Management (CIKM) 2023
Acceptance Rate 24%
[i1] GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
C. Yuan and H. Eldardiry
arXiv.2310.04889 2023
2022
[j4] Role-Based Graph Embeddings
N. Ahmed, R. Rossi, J. Lee, T. Willke, R. Zhou, X. Kong, and H. Eldardiry
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022
Impact Factor 8.9
[c5] Clustering-based Unsupervised Generative Relation Extraction
C. Yuan, R. A. Rossi, A. Katz, and H. Eldardiry
IEEE International Conference on Big Data 2022
Acceptance Rate 19.2%
[c6] Cooperation Learning in Time-Varying Multiagent Networks
Code, Presentation, Poster
V. Reddy, A. Boker, and H. Eldardiry
AAAI Reinforcement Learning in Games (RLG) Workshop 2022
Acceptance Rate 15%
2021
[t2] N-ary Cross-sentence Relation Extraction: From Supervised to Unsupervised Learning
C. Yuan
MS Thesis
[c7] Unsupervised Relation Extraction: a Variational Autoencoder Approach
C. Yuan and H. Eldardiry
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021
Acceptance Rate 32%
[c8] Context Integrated Relational Spatio-Temporal Resource Forecasting
H. Chen, R. A. Rossi, K. Mahadik, and H. Eldardiry
IEEE International Conference on Big Data 2021
Acceptance Rate 19.9%
[c9] Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD) 2021
Acceptance Rate 15.4%
2020
[j5] Ensemble Learning for Relational Data
H. Eldardiry, J. Neville, and R. Rossi Journal of Machine Learning Research (JMLR) 2020
Impact Factor 3.7
2019
[c10] role2vec: Role-based Network Embeddings
N. Ahmed, R. Rossi, J. Lee, T. Willke, R. Zhou, X. Kong, and H. Eldardiry
ACM SIGKDD International Workshop on Deep Learning on Graphs: Methods and Applications (DLG) 2019
2018
[j6] Interactive Visual Graph Mining and Learning
R. Rossi, N. Ahmed, H. Eldardiry, and R. Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 2018
Impact Factor 2.9
[c11] Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs
R. Rossi, N. Ahmed, R. Zhou, and H. Eldardiry
IEEE International Conference on Big Data 2018
Acceptance Rate 19.7%
[c12] Learning Role-based Graph Embeddings
N. Ahmed, R. Rossi, R. Zhou, J. Lee, X. Kong, T. Willke, and H. Eldardiry
International Joint Conference on Artificial Intelligence, Statistical Relational Artificial Intelligence Workshop (StartAI-IJCAI) 2018
Acceptance Rate 20.5%
[c13] Similarity-based Multilabel Learning
R. Rossi, N. Ahmed, H. Eldardiry, and R. Zhou
IEEE International Joint Conference on Neural Networks (IJCNN) 2018
2017
[c14] Inductive Representation Learning in Large Attributed Graphs
N. Ahmed, R. Rossi, R. Zhou, J. Lee, X. Kong, T. Willke, and H. Eldardiry
Neural Information Processing Systems Women in Machine Learning Workshop (WiML-NIPS) 2017
Acceptance Rate 21%
[i1] A Framework for Generalizing Graph-based Representation Learning Methods
N. Ahmed, R. Rossi, R. Zhou, J. Lee, X. Kong, T. Willke, and H. Eldardiry
2016
[c15] Provenance Segmentation
R. Abreu, D. Archer, J. Cheney, E. Chapman, H. Eldardiry, and A. Gascon
Workshop on Theory and Practice of Provenance (TaPP), Provenance Week 2016
2012
[c16] An analysis of How Ensembles of Collective Classifiers Improve Predictions in Graphs
H. Eldardiry and J. Neville
ACM International Conference on Information and Knowledge Management (CIKM) 2012
Acceptance Rate 13.4%
[t2] Ensemble Classification Techniques for Relational Domains
H. Eldardiry
PhD Thesis 2012
2011
[c17] Across-Model Collective Ensemble Classification
H. Eldardiry and J. Neville
ACM Conference on Artificial Intelligence (AAAI) 2011
Acceptance Rate 24.8%
[c18] Ensemble Classification for Relational Domains
H. Eldardiry
AAAI/SIGART Doctoral Consortium at AAAI Conference 2011
2010
[c19] Multi-Network Fusion for Collective Inference
H. Eldardiry and J. Neville
ACM Special Interest Group on Knowledge Discovery and Data Mining 8th Mining and Learning with Graphs Workshop (SIGKDD-MLG) 2010
Acceptance Rate 19.8%
2008
[c20] A Resampling Technique for Relational Data Graphs
H. Eldardiry and J. Neville
ACM Special Interest Group on Knowledge Discovery and Data Mining 2nd Social Network Analysis Workshop (SIGKDD-SNA) 2008
Acceptance Rate 20%