Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences

von Liu, Meng
Veröffentlicht in SIAM International Conference on Data Mining (2022 : Online) SIAM International Conference on Data Mining (SDM'22) (2022)

NOISE2SAME: OPTIMIZING A SELF-SUPERVISED BOUND FOR IMAGE DENOISING

von Xie, Yaochen
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

Self-Supervised Representation Learning Via Latent Graph Prediction

von Xie, Yaochen
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 30 of 33 (2023)

GRAPHDF: A DISCRETE FLOW MODEL FOR MOLECULAR GRAPH GENERATION

von LUO, YOUZHI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

Multi-label dimensionality reduction

von Sun, Liang
Veröffentlicht 2014

GOOD: A Graph Out-of-Distribution Benchmark

von Gui, Shurui
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 3 of 50 (2023)

GRAPH BASED MACHINE LEARNING FOR HEALTHCARE: STATE OF THE ART, CHALLENGES, AND OPPORTUNITIES

von Luo, Yuan
Veröffentlicht in AMIA Annual Symposium (2021 : San Diego, Calif.; Online) American Medical Informatics Association Annual Symposium (AMIA 2021) ; Volume 1 of 3 (2022)

Periodic Graph Transformers for Crystal Material Property Prediction

von Yan, Keqiang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 20 of 50 (2023)

ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs

von Wang, Limei
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 2 of 50 (2023)

ON EXPLAINABILITY OF GRAPH NEURAL NETWORKS VIA SUBGRAPH EXPLORATIONS

von YUAN, HAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

Generating 3D Molecules for Target Protein Binding

von Liu, Meng
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 17 of 33 (2023)

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

von Zhang, Zhanqiu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence

von Qi, Qi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

GraphFM: Improving Large-Scale GNN Training Via Feature Momentum

von Yu, Haiyang
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 31 of 33 (2023)

DEEP NEURAL NETWORKS WITH KNOWLEDGE INSTILLATION

von Yang, Fan
Veröffentlicht in SIAM International Conference on Data Mining SIAM International Conference on Data Mining 2020 (2021)

Task-Agnostic Graph Explanations

von Xie, Yaochen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50 (2023)

MACHINE LEARNING EXPLANATIONS TO PREVENT OVERTRUST IN FAKE NEWS DETECTION

von Mohseni, Sina
Veröffentlicht in International AAAI Conference on Web and Social Media (15. : 2021 : Online) Fifteenth International AAAI Conference on Web and Social Media 2021 ; Volume 1 of 2 (2021)