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← Authors

Yuzhou Chen

19 papers · 2021–2025 · 5 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (9)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (10) πŸ’Ž Century Club (19) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (76)

Conferences

AAAI (10) NIPS (3) AISTATS (2) ICLR (2) ICML (2)

Top co-authors

Yulia R. Gel (10) Yulia Gel (7) Baris Coskunuzer (4) Ignacio Segovia-Dominguez (3) Elynn Chen (2) Yuliya Marchetti (2) H. Vincent Poor (2) Tao Wen (1) Andaç Demir (1) Naheed Anjum Arafat (1)

Keywords

topological data analysis (10) graph neural network (9) persistent homology (7) simplicial neural network (3) graph classification (3) higher-order interaction (2) knowledge representation (2) topological deep learning (2) time series forecasting (2) witness complex (2) convolutional neural network (2) graph convolutional network (2) tensor decomposition (1) deep learning (1) graph representation (1) adversarial robustness (1) contrastive learning (1) geometric deep learning (1) multivariate time series (1) adversarial learning (1)

Papers

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction ICML 2025 Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs ICLR 2025 Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 TopoGCL: Topological Graph Contrastive Learning AAAI 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Tensor-view Topological Graph Neural Network AISTATS 2024 Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract) AAAI 2023 Topological Pooling on Graphs AAAI 2023 TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting ICLR 2022 BScNets: Block Simplicial Complex Neural Networks AAAI 2022 TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning AAAI 2022 ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery NIPS 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NIPS 2022 Topological Relational Learning on Graphs NIPS 2021 Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting ICML 2021 Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning AAAI 2021 Topological Machine Learning Methods for Power System Responses to Contingencies AAAI 2021