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  • Graph Diffusion Transformers for Multi-Conditional Molecular Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Diffusion Transformers for Multi-Conditional Molecular Generation

    Meng Jiang, Gang Liu, Tengfei Luo, Jiaxin Xu p8065-8092 from Advances in Neural Information Processing Systems 37
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  • Graph Edit Distance with General Costs Using Neural Set Divergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Edit Distance with General Costs Using Neural Set Divergence

    Soumen Chakrabarti, Abir De, Eeshaan Jain, Saswat Meher, Indradyumna Roy p73399-73438 from Advances in Neural Information Processing Systems 37
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  • Graph Learning for Numeric Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Learning for Numeric Planning

    Dillon Chen, Sylvie Thiébaux p91156-91183 from Advances in Neural Information Processing Systems 37
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  • Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

    Jie Chen, Andre Freitas, Giangiacomo Mercatali p57183-57206 from Advances in Neural Information Processing Systems 37
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  • Graph Neural Networks and Arithmetic Circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Neural Networks and Arithmetic Circuits

    Timon Barlag, Vivian Holzapfel, Laura Strieker, Jonni Virtema, Heribert Vollmer p5410-5428 from Advances in Neural Information Processing Systems 37
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  • Graph neural networks and non-commuting operators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph neural networks and non-commuting operators

    Kaiying O'Hare, Bernardo Rychtenberg, Mauricio Velasco, Soledad Villar p95662-95691 from Advances in Neural Information Processing Systems 37
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  • Graph Neural Networks Do Not Always Oversmooth

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Neural Networks Do Not Always Oversmooth

    Bastian Epping, Moritz Helias, Alexandre René, Michael Schaub p48164-48188 from Advances in Neural Information Processing Systems 37
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  • Graph Neural Networks Need Cluster-Normalize-Activate Modules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    Mohammad Ali, Devendra Dhami, Felix Divo, Kristian Kersting, Arseny Skryagin p79819-79842 from Advances in Neural Information Processing Systems 37
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  • Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention

    Philipp Froehlich, Heinz Koeppl p128847-128885 from Advances in Neural Information Processing Systems 37
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  • Graph-Based Approach Towards Efficient RDF Query Answering in RDFS Entailment Regime

    Aussino Academic Publishing House (AAPH)

    Graph-Based Approach Towards Efficient RDF Query Answering in RDFS Entailment Regime

    Yuechao Zang, Qianzhen Zhang, Xianqiang Zhu, Lailong Luo p422-441 from 12th International Conference on Logistics and Systems Engineering 2023
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  • Graph-based Uncertainty Metrics for Long-form Language Model Generations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph-based Uncertainty Metrics for Long-form Language Model Generations

    Tatsunori Hashimoto, Mingjian Jiang, Salim Roukos, Yangjun Ruan, Prasanna Sattigeri p32980-33006 from Advances in Neural Information Processing Systems 37
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  • Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

    Qiuyu Chen, Xin Jin, Yunnan Wang, Baao Xie, Wenjun Zeng, Zequn Zhang p103101-103130 from Advances in Neural Information Processing Systems 37
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