| Generating Human Understandable Explanations for Node Embeddings Z Shafi, A Chatterjee, T Eliassi-Rad arXiv preprint arXiv:2406.07642, 2024 | | 2024 |
| Distributed constrained combinatorial optimization leveraging hypergraph neural networks N Heydaribeni, X Zhan, R Zhang, T Eliassi-Rad, F Koushanfar Nature Machine Intelligence, 1-9, 2024 | 2 | 2024 |
| Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings D Liu, A Seshadri, T Eliassi-Rad, J Ugander arXiv preprint arXiv:2405.00172, 2024 | | 2024 |
| Assigning Entities to Teams as a Hypergraph Discovery Problem GF de Arruda, W He, N Heydaribeni, T Javidi, Y Moreno, T Eliassi-Rad arXiv preprint arXiv:2403.04063, 2024 | | 2024 |
| Assigning Entities to Teams as a Hypergraph Discovery Problem G Ferraz de Arruda, W He, N Heydaribeni, T Javidi, Y Moreno, ... arXiv e-prints, arXiv: 2403.04063, 2024 | | 2024 |
| Complex network effects on the robustness of graph convolutional networks BA Miller, K Chan, T Eliassi-Rad Applied Network Science 9 (1), 5, 2024 | | 2024 |
| Characterizing collective physical distancing in the US during the first nine months of the COVID-19 pandemic B Klein, T LaRock, S McCabe, L Torres, L Friedland, M Kos, F Privitera, ... PLOS Digital Health 3 (2), e0000430, 2024 | 5 | 2024 |
| A survey on hypergraph mining: Patterns, tools, and generators G Lee, F Bu, T Eliassi-Rad, K Shin arXiv preprint arXiv:2401.08878, 2024 | 8 | 2024 |
| Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction A Chatterjee, B Ravandi, NH Philip, M Abdelmessih, WR Mowrey, ... bioRxiv, 2024.04. 27.591478, 2024 | | 2024 |
| Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls D Van Niekerk, M Peréz-Ortiz, J Shawe-Taylor, D Orlic, J Kay, N Siegel, ... UNESCO, IRCAI, 2024 | 5 | 2024 |
| Supplementary Document for ‘A Survey on Hypergraph Mining: Patterns, Tools, and Generators’ G LEE, F BU, T ELIASSI-RAD, K SHIN | | 2024 |
| TenGAN: adversarially generating multiplex tensor graphs W Shiao, BA Miller, K Chan, P Yu, T Eliassi-Rad, EE Papalexakis Data Mining and Knowledge Discovery 38 (1), 1-21, 2024 | 1 | 2024 |
| Using sequences of life-events to predict human lives G Savcisens, T Eliassi-Rad, LK Hansen, LH Mortensen, L Lilleholt, ... Nature Computational Science 4 (1), 43-56, 2024 | 29 | 2024 |
| HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks N Heydaribeni, X Zhan, R Zhang, T Eliassi-Rad, F Koushanfar arXiv preprint arXiv:2311.09375, 2023 | 1 | 2023 |
| Attacking shortest paths by cutting edges BA Miller, Z Shafi, W Ruml, Y Vorobeychik, T Eliassi-Rad, S Alfeld ACM Transactions on Knowledge Discovery from Data 18 (2), 1-42, 2023 | 3 | 2023 |
| When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations D Liu, J Baek, T Eliassi-Rad arXiv preprint arXiv:2310.09687, 2023 | | 2023 |
| Graph-scp: Accelerating set cover problems with graph neural networks Z Shafi, BA Miller, T Eliassi-Rad, RS Caceres arXiv preprint arXiv:2310.07979, 2023 | 2 | 2023 |
| GRASP: Accelerating Shortest Path Attacks via Graph Attention ZS Miller, A Benjamin, A Chatterjee, T Eliassi-Rad, RS Caceres arXiv preprint arXiv:2310.07980, 2023 | | 2023 |
| GRASP: Accelerating Shortest Path Attacks via Graph Attention Z Shafi, BA Miller, A Chatterjee, T Eliassi-Rad, RS Caceres Target 2, 5, 2023 | | 2023 |
| Neuroscience needs network science DL Barabási, G Bianconi, E Bullmore, M Burgess, SY Chung, ... Journal of Neuroscience 43 (34), 5989-5995, 2023 | 36 | 2023 |
Brian GallagherComputer Scientist, Lawrence Livermore National Laboratory在 llnl.gov 的电子邮件经过验证
