PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He 001; George Panagopoulos; Alexander Riedel; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Guzmán López; Nicolas Collignon; Rik Sarkar (CIKM, 2021)

MagNet: A Neural Network for Directed Graphs. - Xitong Zhang; Yixuan He 001; Nathan Brugnone; Michael Perlmutter; Matthew J. Hirn (NeurIPS, 2021)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He 001; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (CoRR, 2021)

DIGRAC: Digraph Clustering with Flow Imbalance. - Yixuan He 001; Gesine Reinert; Mihai Cucuringu (CoRR, 2021)

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. - Yixuan He 001; Quan Gan; David Wipf; Gesine D. Reinert; Junchi Yan; Mihai Cucuringu (ICML, 2022)

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. - Yixuan He 001; Michael Perlmutter; Gesine Reinert; Mihai Cucuringu (LoG, 2022)

DIGRAC: Digraph Clustering Based on Flow Imbalance. - Yixuan He 001; Gesine Reinert; Mihai Cucuringu (LoG, 2022)

CEP3: Community Event Prediction With Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He 001; Minjie Wang; Quan Gan; Junchi Yan (LoG, 2022)

SSSNET: Semi-Supervised Signed Network Clustering. - Yixuan He 001; Gesine Reinert; Songchao Wang; Mihai Cucuringu (SDM, 2022)

GNNs for Node Clustering in Signed and Directed Networks. - Yixuan He 001 (WSDM, 2022)

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. - Yixuan He 001; Xitong Zhang; Junjie Huang; Mihai Cucuringu; Gesine Reinert (CoRR, 2022)

CEP3: Community Event Prediction with Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He 001; Minjie Wang; Quan Gan; Yupu Yang; Junchi Yan (CoRR, 2022)

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. - Qitian Wu; Chenxiao Yang; Wentao Zhao; Yixuan He 001; David Wipf; Junchi Yan (ICLR, 2023)

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. - Haoyu Geng; Chao Chen 016; Yixuan He 001; Gang Zeng; Zhaobing Han; Hua Chai; Junchi Yan (KDD, 2023)

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. - Yixuan He 001; Xitong Zhang; Junjie Huang; Benedek Rozemberczki; Mihai Cucuringu; Gesine Reinert (LoG, 2023)

Pedal Me Bicycle Deliveries. - Benedek Rozemberczki; Paul Scherer; Yixuan He 001; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (UCI-MLR, 2023)

Robust Angular Synchronization via Directed Graph Neural Networks. - Yixuan He 001; Gesine Reinert; David Wipf; Mihai Cucuringu (ICLR, 2024)

Generalization Error of Graph Neural Networks in the Mean-field Regime. - Gholamali Aminian; Yixuan He 001; Gesine Reinert; Lukasz Szpruch; Samuel N. Cohen (ICML, 2024)

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. - Holly R. Steach; Siddharth Viswanath; Yixuan He 001; Xitong Zhang; Natalia Ivanova; Matthew J. Hirn; Michael Perlmutter; Smita Krishnaswamy (RECOMB, 2024)

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. - Seth Ockerman; Amal Gueroudji; Tanwi Mallick; Yixuan He 001; Line Pouchard; Robert B. Ross; Shivaram Venkataraman (SC, 2025)

Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions. - Yixuan He 001; Aaron Sandel; David Wipf; Mihai Cucuringu; John Mitani; Gesine Reinert (CoRR, 2025)