Yixuan He - RankMe

27 papers A* 6A 4B 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions. CoRR Yixuan He, Aaron Sandel, David Wipf, Mihai Cucuringu, John Mitani, Gesine Reinert
2025	A	`conf`	PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. SC Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman
2025	J	`jnl`	PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. CoRR Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman
2024	A*	`conf`	Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	B	`conf`	Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy
2024	A*	`conf`	Robust Angular Synchronization via Directed Graph Neural Networks. ICLR Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
2023	A*	`conf`	DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
2023	J	`jnl`	DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
2023	—	`conf`	PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
2023	A*	`conf`	Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. KDD Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan
2023	J	`jnl`	Robust Angular Synchronization via Directed Graph Neural Networks. CoRR Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
2022	—	`conf`	CEP3: Community Event Prediction With Neural Point Process on Graph. LoG Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan
2022	J	`jnl`	CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan
2022	—	`conf`	DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG Yixuan He, Gesine Reinert, Mihai Cucuringu
2022	A*	`conf`	GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu
2022	J	`jnl`	GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu
2022	A	`conf`	GNNs for Node Clustering in Signed and Directed Networks. WSDM Yixuan He
2022	—	`conf`	MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
2022	J	`jnl`	MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
2022	J	`jnl`	PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. CoRR Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert
2022	A	`conf`	SSSNET: Semi-Supervised Signed Network Clustering. SDM Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
2021	J	`jnl`	DIGRAC: Digraph Clustering with Flow Imbalance. CoRR Yixuan He, Gesine Reinert, Mihai Cucuringu
2021	A*	`conf`	MagNet: A Neural Network for Directed Graphs. NeurIPS Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn
2021	A	`conf`	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar
2021	J	`jnl`	PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar
2021	J	`jnl`	SSSNET: Semi-Supervised Signed Network Clustering. CoRR Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu