https://openreview.net/forum?id=DxpdovAY8Y
Actor-Twin Framework for Task Graph Scheduling | OpenReview
Task graph scheduling involves efficiently assigning computational tasks to available processors while ensuring the correctness of the result. As this problem...
task graphactortwinframeworkscheduling
https://aclanthology.org/2023.findings-acl.210/
Unsupervised Task Graph Generation from Instructional Video Transcripts - ACL Anthology
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee. Findings of the Association for Computational Linguistics: ACL 2023. 2023.
task graphinstructional videounsupervisedgenerationtranscripts
https://github.com/SUDA-LA/ucca-parser
GitHub - SUDA-LA/ucca-parser: [SemEval'19] Code for "HLT@SUDA at SemEval 2019 Task 1: UCCA Graph...
[SemEval'19] Code for "HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing" - SUDA-LA/ucca-parser
https://aclanthology.org/D18-1360/
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph...
Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018.
multi task
https://www.mail-archive.com/commits@airflow.apache.org/msg414192.html
[I] Inconsistent Task Ordering between grid view and graph view. [airflow]
grid viewinconsistenttaskorderinggraph
https://deepai.org/publication/eventgraph-at-case-2021-task-1-a-general-graph-based-approach-to-protest-event-extraction
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction | DeepAI
Oct 18, 2022 - 10/18/22 - This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an ...
https://www.easychair.org/publications/preprint/GZFG
Multi-Scale Directed Graph Convolution Neural Network for Node Classification Task
convolution neural networkdirected graphnode classificationmultiscale
https://mail-archive.com/search?l=commits@airflow.apache.org&q=subject:%22%5C%5BI%5C%5D+Inconsistent+Task+Ordering+between+grid+view+and+graph+view.+%5C%5Bairflow%5C%5D%22&o=newest&f=1
subject:"\[I\] Inconsistent Task Ordering between grid view and graph view. \[airflow\]"
grid viewsubjectinconsistenttaskordering
https://deepai.org/publication/gratis-deep-learning-graph-representation-with-task-specific-topology-and-multi-dimensional-edge-features
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge...
Nov 19, 2022 - 11/19/22 - Graph is powerful for representing various types of real-world data. The topology (edges' presence) and edges' features of a graph...
https://mail-archive.com/commits@airflow.apache.org/msg414316.html
Re: [I] Inconsistent Task Ordering between grid view and graph view. [airflow]
re igrid viewinconsistenttaskordering
https://github.com/nkkav/tcfggen
GitHub - nkkav/tcfggen: Task control flow graph (TCFG) extraction pass for the Machine-SUIF...
Task control flow graph (TCFG) extraction pass for the Machine-SUIF compiler - nkkav/tcfggen
https://www.amazon.science/alexa-prize/proceedings/sage-a-multimodal-knowledge-graph-based-conversational-agent-for-complex-task-guidance
Sage: A multimodal knowledge graph-based conversational agent for complex task guidance - Amazon...
This paper presents Sage, a task-oriented multimodal conversational agent devel- oped for the Alexa Prize TaskBot Challenge 2. Focusing on cooking and DIY...
https://deepai.org/publication/functional-task-tree-generation-from-a-knowledge-graph-to-solve-unseen-problems
Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems | DeepAI
Dec 4, 2021 - 12/04/21 - A major component for developing intelligent and autonomous robots is a suitable knowledge representation, from which a robot can ...
https://www.intel.com/content/www/us/en/docs/onetbb/developer-guide-api-reference/2021-10/attach-flow-graph-to-an-arbitrary-task-arena.html
Attach Flow Graph to an Arbitrary Task Arena
oneTBB is a library that supports scalable parallel programming using standard ISO C++ code. Documentation includes Get Started Guide, Developer Guide, and API...
flow graphattacharbitrarytaskarena
https://mail-archive.com/commits@airflow.apache.org/msg414280.html
Re: [I] Inconsistent Task Ordering between grid view and graph view. [airflow]
re igrid viewinconsistenttaskordering
https://www.intel.com/content/www/us/en/docs/onetbb/developer-guide-api-reference/2021-11/attach-flow-graph-to-an-arbitrary-task-arena.html
Attach Flow Graph to an Arbitrary Task Arena
oneTBB is a library that supports scalable parallel programming using standard ISO C++ code. Documentation includes Get Started Guide, Developer Guide, and API...
flow graphattacharbitrarytaskarena
https://arxiv.org/abs/2010.01086v1
[2010.01086v1] Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
Abstract page for arXiv paper 2010.01086v1: Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
https://www.amazon.science/publications/multi-task-learning-on-heterogeneous-graph-neural-network-for-substitute-recommendation
Multi-task learning on heterogeneous graph neural network for substitute recommendation - Amazon...
Substitute recommendation in e-commerce has attracted increasing attention in recent years, to help improve customer experience. In this work, we propose a...
multi task learninggraph neural network
https://aclanthology.org/S16-1186/
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss - ACL Anthology
Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime Carbonell. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016). 2016.
https://deepai.org/publication/multi-task-identification-of-entities-relations-and-coreference-for-scientific-knowledge-graph-construction
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph...
Aug 29, 2018 - 08/29/18 - We introduce a multi-task setup of identifying and classifying entities, relations, and coreference clusters in scientific article...
multi task
https://openreview.net/forum?id=m5RYtApKFOg
Curvature-informed multi-task learning for graph networks | OpenReview
We analyze loss curvature properties of graph neural networks in the multi-output prediction setting to see why multi-task learning approaches can fail.
multi task learninggraph networkscurvatureinformedopenreview
https://openreview.net/forum?id=_sQ6pLNVHoh
Task-Agnostic Graph Explanations | OpenReview
Graph Neural Networks (GNNs) have emerged as powerful tools to encode graph-structured data. Due to their broad applications, there is an increasing need to...
taskagnosticgraphexplanationsopenreview
https://mail-archive.com/commits@airflow.apache.org/msg414769.html
Re: [I] Inconsistent Task Ordering between grid view and graph view. [airflow]
re igrid viewinconsistenttaskordering
https://arxiv.org/abs/2510.12369
[2510.12369] A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation...
Abstract page for arXiv paper 2510.12369: A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning