Yixuan He

According to our database, Yixuan He authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions.

Yixuan He, Aaron Sandel, David Wipf, Mihai Cucuringu, John Mitani, Gesine Reinert

CoRR, February, 2025

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training.

Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman

Proceedings of the International Conference for High Performance Computing, 2025

2024

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning.

Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the Research in Computational Molecular Biology, 2024

Generalization Error of Graph Neural Networks in the Mean-field Regime.

Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen

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

Robust Angular Synchronization via Directed Graph Neural Networks.

Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Pedal Me Bicycle Deliveries.

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar

Dataset, August, 2023

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations.

Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan

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

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.

Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

CEP3: Community Event Prediction with Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan

CoRR, 2022

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert

CoRR, 2022

GNNs for Node Clustering in Signed and Directed Networks.

Yixuan He

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

SSSNET: Semi-Supervised Signed Network Clustering.

Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu

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

CEP3: Community Event Prediction With Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan

Proceedings of the Learning on Graphs Conference, 2022

DIGRAC: Digraph Clustering Based on Flow Imbalance.

Yixuan He, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.

Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu

Proceedings of the International Conference on Machine Learning, 2022

2021

DIGRAC: Digraph Clustering with Flow Imbalance.

Yixuan He, Gesine Reinert, Mihai Cucuringu

CoRR, 2021

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar

CoRR, 2021

MagNet: A Neural Network for Directed Graphs.

Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

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

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar

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