Order Matters: Sequence to sequence for sets

19 November 2015

Papers citing "Order Matters: Sequence to sequence for sets"

50 / 127 papers shown

Title
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction Liu Junchi Tang Ying Tretiak Sergei Duan Wenhui Zhou Liujiang 33 0 0 01 May 2025
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions Yizhe Zhang Richard He Bai Zijin Gu Ruixiang Zhang Jiatao Gu Emmanuel Abbe Samy Bengio Navdeep Jaitly LRM BDL 64 1 0 25 Feb 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 135 0 0 10 Jan 2025
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation Joy Mahapatra Utpal Garain 37 9 0 19 Jul 2024
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures Enrico Russo M. Palesi Davide Patti G. Ascia V. Catania 45 3 0 17 Jun 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 34 1 0 04 Feb 2024
Olfactory Label Prediction on Aroma-Chemical Pairs Laura Sisson Aryan Amit Barsainyan Mrityunjay Sharma Ritesh Kumar 11 0 0 26 Dec 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen J. Hopcroft Kun He 24 0 0 31 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 19 1 0 27 Sep 2023
Geometric Pooling: maintaining more useful information Hao Xu Jia Liu Yang Shen Kenan Lou Yanxia Bao Ruihua Zhang Shuyue Zhou Hongsen Zhao Shuai Wang 27 0 0 21 Jun 2023
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network A. Marcus P. Bentley Daniel Rueckert MedIm 21 9 0 21 Jun 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 27 13 0 11 Mar 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 29 16 0 17 Feb 2023
Commentary Generation from Data Records of Multiplayer Strategy Esports Game Zihan Wang Naoki Yoshinaga 16 0 0 21 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Fine-tuning language models to find agreement among humans with diverse preferences Michiel A. Bakker Martin Chadwick Hannah R. Sheahan Michael Henry Tessler Lucy Campbell-Gillingham ... Nat McAleese Amelia Glaese John Aslanides M. Botvinick Christopher Summerfield ALM 35 215 0 28 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning Gaichao Li Jinsong Chen Kun He 16 3 0 15 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 16 5 0 07 Nov 2022
P $^3$ LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training Junwei Bao Yifan Wang Jiangyong Ying Yeyun Gong Jing Zhao Youzheng Wu Xiaodong He 37 1 0 22 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 29 13 0 13 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che B. Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 28 8 0 11 Oct 2022
Infrared: A Meta Bug Detector Chi Zhang Yu Wang Linzhang Wang 25 1 0 18 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 82 0 07 Sep 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 21 6 0 18 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 45 373 0 05 Aug 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang L. Zhang 21 24 0 14 Jul 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 16 72 0 26 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 18 12 0 27 May 2022
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach Chao Zhao Faeze Brahman Tenghao Huang Snigdha Chaturvedi LRM 19 3 0 26 May 2022
Challenges for Open-domain Targeted Sentiment Analysis Yun Luo Hongjie Cai Linyi Yang Yanxia Qin Rui Xia Yue Zhang 15 13 0 14 Apr 2022
A sequence-to-sequence approach for document-level relation extraction John Giorgi Gary D. Bader Bo Wang 33 52 0 03 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 50 40 0 25 Mar 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong Muhan Zhang Fuhai Li Yixin Chen CML GNN 33 17 0 19 Mar 2022
Permutation Invariant Representations with Applications to Graph Deep Learning R. Balan Naveed Haghani M. Singh 20 25 0 14 Mar 2022
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design Qihua Chen Xuejin Chen Hyun-Myung Woo Byung-Jun Yoon 18 2 0 14 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 19 7 0 25 Feb 2022
TableQuery: Querying tabular data with natural language A. Abraham Fariz Rahman Damanpreet Kaur LMTD 11 3 0 27 Jan 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 19 19 0 22 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 40 258 0 21 Jan 2022
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure Matteo Boffa Zied Ben-Houidi J. Krolikowski Dario Rossi GNN 20 7 0 03 Jan 2022
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks A. Mazayev F. Al-Tam N. Correia 21 5 0 07 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 37 2 0 04 Dec 2021
Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang Qiang Zhang Haihong Yang Xiang Zhuang Shumin Deng Wen Zhang Minghai Qin Zhuo Chen Xiaohui Fan Huajun Chen 13 107 0 01 Dec 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 35 21 0 23 Nov 2021
One model Packs Thousands of Items with Recurrent Conditional Query Learning Dongda Li Zhaoquan Gu Yuexuan Wang Changwei Ren F. Lau 27 17 0 12 Nov 2021
Predictive Machine Learning of Objective Boundaries for Solving COPs Helge Spieker A. Gotlieb 8 0 0 04 Nov 2021
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 41 2 0 25 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 27 90 0 11 Oct 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu Dragomir R. Radev Huabin Xing ViT 33 54 0 04 Oct 2021