graph based - Robuta Search

https://neo4j.com/nodes-ai/agenda/agent-interaction-graphs-evaluating-multi-agent-systems-with-graph-based-reasoning/ Agent Interaction Graphs: Evaluating Multi-Agent Systems with Graph-Based Reasoning agent interaction multi systems graph based graphs evaluating https://www.tensorflow.org/tfx/tutorials/tfx/neural_structured_learning?authuser=3 Graph-based Neural Structured Learning in TFX | TensorFlow graph based structured learning neural tfx tensorflow https://www.tensorflow.org/tfx/tutorials/tfx/neural_structured_learning?authuser=0 Graph-based Neural Structured Learning in TFX | TensorFlow graph based structured learning neural tfx tensorflow https://arxiv.org/abs/1903.06548 [1903.06548] Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification Abstract page for arXiv paper 1903.06548: Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification graph based hyperspectral image 1903 superpixel contracted https://www.preprints.org/manuscript/202308.0093 A Conceptual Graph-Based Method to Compute Information Content[v1] | Preprints.org This research uses the computing of conceptual distance to measure information content in Wikipedia categories. The proposed metric, generality, relates... conceptual graph https://openreview.net/forum?id=6lUEy1J5R7p&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2023%2FConference%2FAuthors%23your-submissions) Imitating Graph-Based Planning with Goal-Conditioned Policies | OpenReview We train goal-conditioned policies guided by decisions from graph-based planning. graph based imitating planning goal conditioned https://openreview.net/forum?id=itKJ5uu1gW Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling | OpenReview Videos of robots interacting with objects encode rich information about the objects' dynamics. However, existing video prediction approaches typically do not... graph based dynamics modeling 3d gaussian tracking https://arxiv.org/abs/2504.05163 [2504.05163] Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under... Abstract page for arXiv paper 2504.05163: Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness knowledge graph evaluating https://openreview.net/forum?id=hwTKGdM4TK Instance Correlation Graph-based Naive Bayes | OpenReview Due to its simplicity, effectiveness and robustness, naive Bayes (NB) has continued to be one of the top 10 data mining algorithms. To improve its performance,... graph based naive bayes instance correlation openreview https://aclanthology.org/2021.naacl-industry.19/ Graph-based Multilingual Product Retrieval in E-Commerce Search - ACL Anthology Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin. Proceedings of the 2021 Conference of the North American Chapter of the Association for... graph based commerce search multilingual product retrieval https://deepai.org/publication/gvdoc-graph-based-visual-document-classification GVdoc: Graph-based Visual Document Classification | DeepAI May 26, 2023 - 05/26/23 - The robustness of a model for real-world deployment is decided by how well it performs on unseen data and distinguishes between in... graph based document classification visual deepai https://openreview.net/forum?id=k7XxilA9sy Inductive Transfer Learning for Graph-Based Recommenders | OpenReview Graph-based recommender systems are commonly trained in transductive settings, which limits their applicability to new users, items, or datasets. We propose... inductive transfer graph based learning recommenders openreview https://aclanthology.org/W19-6149/ UniParse: A universal graph-based parsing toolkit - ACL Anthology Daniel Varab, Natalie Schluter. Proceedings of the 22nd Nordic Conference on Computational Linguistics. 2019. universal graph based parsing toolkit acl https://deepai.org/publication/biased-textrank-unsupervised-graph-based-content-extraction Biased TextRank: Unsupervised Graph-Based Content Extraction | DeepAI Nov 2, 2020 - 11/02/20 - We introduce Biased TextRank, a graph-based content extraction method inspired by the popular TextRank algorithm that ranks text s... graph based content extraction biased textrank unsupervised https://www.unisg.ch/en/r2302-projektliste/detail/project/maxwell-nexus-llm-knowlege-graph-based-pcb-design-assistent/ Maxwell-NEXUS: LLM & Knowlege Graph Based PCB Design Assistent graph based pcb design maxwell nexus llm https://www.mdpi.com/1996-1073/17/12/2893 A Graph-Based Genetic Algorithm for Distributed Photovoltaic Cluster Partitioning To easily control distributed photovoltaic power stations and provide fast responses for their regulation, this paper proposes an optimal cluster partitioning... a graph genetic algorithm based distributed photovoltaic https://deepai.org/publication/a-generic-graph-based-neural-architecture-encoding-scheme-for-predictor-based-nas A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS | DeepAI Apr 4, 2020 - 04/04/20 - This work proposes a novel Graph-based neural ArchiTecture Encoding Scheme, a.k.a. GATES, to improve the predictor-based neural ar... graph based https://neo4j.com/videos/graph-based-real-time-inventory-and-topology-for-network-automation/ Video: Graph-Based Real Time Inventory and Topology for Network Automation May 10, 2026 - When building a network automation solution, one of the first steps on your journey will certainly be the creation of a source of truth for your network... real time inventory graph based for network video https://arxiv.org/abs/1912.03321 [1912.03321] Robust Deep Graph Based Learning for Binary Classification Abstract page for arXiv paper 1912.03321: Robust Deep Graph Based Learning for Binary Classification graph based 1912 robust deep learning https://neo4j.com/videos/knowledge-graphs-the-power-of-graph-based-search/ Video: Knowledge Graphs: The Power of Graph-Based Search May 18, 2026 - Learn all about knowledge graphs, how to use them in Neo4j, and how to enrich them with natural language processing, Cypher, and inferencing. Dr. Petra Selmer,... power of graph knowledge graphs video based search https://www.mdpi.com/1424-8220/21/19/6467 Hyperspectral Image Classification Using Deep Genome Graph-Based Approach Recently developed hybrid models that stack 3D with 2D CNN in their structure have enjoyed high popularity due to their appealing performance in hyperspectral... hyperspectral image graph based classification using deep https://arxiv.org/abs/2505.18343 [2505.18343] Model Editing with Graph-Based External Memory Abstract page for arXiv paper 2505.18343: Model Editing with Graph-Based External Memory model editing graph based external memory https://neo4j.com/videos/graphsummit-government-a-graph-based-rag-architecture-for-detecting-sensitive-information/ Video: GraphSummit Government: A Graph-Based RAG Architecture for Detecting Sensitive Information a graph https://www.proquest.com/docview/2434727631?pq-origsite=gscholar&fromopenview=true Graph-Based Modeling and Simulation of Cyber-Physical Systems - ProQuest Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform. modeling and simulation cyber physical systems graph based proquest https://www.nist.gov/publications/attack-graph-based-probabilistic-security-metric An Attack Graph Based Probabilistic Security Metric | NIST Oct 12, 2021 - To protect critical resources in today's networked environments, it is desirable to quantify the likelihood of potential multi-step attacks that combine multipl an attack graph based probabilistic security metric https://www.atlantis-press.com/proceedings/icemed-25/126015001 A Novel Graph-Based Framework for Cryptocurrency Fraud Detection | Atlantis Press Cryptocurrencies have been widely applied in in-dustries such as finance and physical trade, with Bitcoin and Ethereum becoming the mainstream... a novel graph based cryptocurrency fraud framework https://deepai.org/publication/graph-based-view-motion-planning-for-fruit-detection Graph-based View Motion Planning for Fruit Detection | DeepAI Mar 6, 2023 - 03/06/23 - Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structur... graph based motion planning view fruit detection https://openreview.net/forum?id=x2PH6q32LR Taming Local Effects in Graph-based Spatiotemporal Forecasting | OpenReview Spatiotemporal graph neural networks have shown to be effective in time series forecasting applications, achieving better performance than standard univariate... graph based taming local effects spatiotemporal https://aclanthology.org/W16-1805/ Graph-based Clustering of Synonym Senses for German Particle Verbs - ACL Anthology Moritz Wittmann, Marion Weller-Di Marco, Sabine Schulte im Walde. Proceedings of the 12th Workshop on Multiword Expressions. 2016. graph based https://ladybugmem.ai/ Graph Based Continuous Learning | Ladybug Memory Ladybug Memory - A graph based continuous learning platform powered by LadybugDB graph based continuous learning ladybug memory https://deepai.org/publication/unsupervised-graph-based-topic-modeling-from-video-transcriptions Unsupervised Graph-based Topic Modeling from Video Transcriptions | DeepAI May 4, 2021 - 05/04/21 - To unfold the tremendous amount of audiovisual data uploaded daily to social media platforms, effective topic modelling techniques... graph based topic modeling video transcriptions unsupervised deepai https://aclanthology.org/N18-1107/ End-to-End Graph-Based TAG Parsing with Neural Networks - ACL Anthology Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow. Proceedings of the 2018 Conference of the North American Chapter of the Association for... graph based neural networks end tag https://aclanthology.org/2022.alta-1.22/ Textstar: a Fast and Lightweight Graph-Based Algorithm for Extractive Summarization and Keyphrase... David Brock, Ali Khan, Tam Doan, Alicia Lin, Yifan Guo, Paul Tarau. Proceedings of the 20th Annual Workshop of the Australasian Language Technology... graph based https://deepai.org/publication/hiporank-incorporating-hierarchical-and-positional-information-into-graph-based-unsupervised-long-document-extractive-summarization HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long... May 1, 2020 - 05/01/20 - We propose a novel graph-based ranking model for unsupervised extractive summarization of long documents. Graph-based ranking mode... graph based incorporating hierarchical positional https://deepai.org/publication/graph-based-cluttered-scene-generation-and-interactive-exploration-using-deep-reinforcement-learning Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement... Sep 21, 2021 - 09/21/21 - We introduce a novel method to teach a robotic agent to interactively explore cluttered yet structured scenes, such as kitchen pan... graph based cluttered scene generation https://www.mdpi.com/1424-8220/20/15/4334 An Irregular Graph Based Network Code for Low-Latency Content Distribution To fulfill the increasing demand on low-latency content distribution, this paper considers content distribution using generation-based network coding with the... graph based network code low latency irregular https://neo4j.com/event/knowledge-graph-based-chatbot/ Knowledge Graph-Based Chatbot - 2024-05-07 09:00:00 Apr 19, 2024 - Large Language Models (LLMs) like ChatGPT has inspired the world and started a new AI revolution. However, it seems that the latest trend is supplying ChatGPT... knowledge graph 05 07 based chatbot 2024 https://openreview.net/forum?id=I6JaBAoPsA&referrer=%5Bthe%20profile%20of%20Zhengchao%20Wan%5D(%2Fprofile%3Fid%3D~Zhengchao_Wan1) Continuous Partitioning for Graph-Based Semi-Supervised Learning | OpenReview Laplace learning algorithms for graph-based semi-supervised learning have been shown to produce degenerate predictions at low label rates and in imbalanced... semi supervised learning graph based continuous partitioning openreview https://arxiv.org/abs/2410.00665v2 [2410.00665v2] Graph-Based Representation Learning of Neuronal Dynamics and Behavior Abstract page for arXiv paper 2410.00665v2: Graph-Based Representation Learning of Neuronal Dynamics and Behavior graph based representation learning 2410 https://docs.rs/graph-based-image-segmentation/latest/graph_based_image_segmentation/ graph_based_image_segmentation - Rust Efficient Graph-Based Image Segmentation graph based image segmentation rust https://deepai.org/publication/application-of-graph-based-features-in-computer-aided-diagnosis-for-histopathological-image-classification-of-gastric-cancer Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image... May 17, 2022 - 05/17/22 - The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the... computer aided diagnosis graph based https://www.easychair.org/publications/preprint/gvhX Graph-Based Analysis and Visualization of Kieker Traces analysis and visualization graph based kieker traces https://ideas.repec.org/a/eee/dyncon/v139y2022ics0165188922001397.html Directed acyclic graph based information shares for price discovery Downloadable (with restrictions)! The possibility to measure the contribution of agents and exchanges to the price formation process in financial markets... directed acyclic graph based information shares price https://arxiv.org/abs/1806.10957v1 [1806.10957v1] Thermal diffusion in branched structures: Metric graph based approach Abstract page for arXiv paper 1806.10957v1: Thermal diffusion in branched structures: Metric graph based approach thermal diffusion metric graph 1806 https://aclanthology.org/P19-1237/ Graph-based Dependency Parsing with Graph Neural Networks - ACL Anthology Tao Ji, Yuanbin Wu, Man Lan. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019. graph based neural networks dependency parsing acl https://www.langchain.com/blog/graph-based-metadata-filtering-for-improving-vector-search-in-rag-applications Graph-based metadata filtering for improving vector search in RAG applications Learn how to improve RAG application accuracy using graph-based metadata filtering with LangChain and Neo4j to retrieve more relevant documents. graph based metadata filtering vector search https://aclanthology.org/J13-3007/ OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction - ACL Anthology Paola Velardi, Stefano Faralli, Roberto Navigli. Computational Linguistics, Volume 39, Issue 3 - September 2013. 2013. a graph taxonomy induction reloaded based https://easychair.org/publications/preprint/pXJK/versions Construction of Knowledge Graph Based on Discipline Inspection and Supervision: Versions construction of knowledge inspection and supervision graph based https://arxiv.org/abs/1301.1671 [1301.1671] Causal graph-based video segmentation Abstract page for arXiv paper 1301.1671: Causal graph-based video segmentation causal graph 1301 1671 based video https://seas-search.vercel.app/ SEAS Search | Knowledge Graph-Based Course QA Research project showcasing fine-tuned LLMs with knowledge graphs for GWU course search and prerequisite planning knowledge graph seas search based course https://pmc.ncbi.nlm.nih.gov/articles/PMC5777156/ Graph-based segmentation of abnormal nuclei in cervical cytology - PMC A general method is reported for improving the segmentation of abnormal cell nuclei in cervical cytology images. In automation-assisted reading of cervical... graph based cervical cytology segmentation abnormal nuclei https://deepai.org/publication/dagsurv-directed-acyclic-graph-based-survival-analysis-using-deep-neural-networks DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks | DeepAI Nov 2, 2021 - 11/02/21 - Causal structures for observational survival data provide crucial information regarding the relationships between covariates and t... directed acyclic graph deep neural networks survival analysis https://openreview.net/forum?id=B1e3OlStPB DeepSphere: a graph-based spherical CNN | OpenReview A graph-based spherical CNN that strikes an interesting balance of trade-offs for a wide variety of applications. a graph based spherical cnn openreview https://aclanthology.org/C18-1069/ Reading Comprehension with Graph-based Temporal-Casual Reasoning - ACL Anthology Yawei Sun, Gong Cheng, Yuzhong Qu. Proceedings of the 27th International Conference on Computational Linguistics. 2018. reading comprehension graph based temporal casual reasoning https://arxiv.org/abs/2104.07196v3 [2104.07196v3] Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks Abstract page for arXiv paper 2104.07196v3: Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks graph based 2104 thermal https://www.cas.org/zh-hans/resources/cas-insights/knowledge-graph-drug-repurposing Knowledge graph-based approaches to drug repurposing for COVID-19 | CAS The COVID-19 pandemic has motivated researchers across the globe to find effective drugs and therapeutics for treating the disease. knowledge graph drug repurposing covid 19 based approaches https://openreview.net/forum?id=uYIFQOtb58 Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling | OpenReview Given a set of synchronous time series, each associated with a sensor-point in space and characterized by inter-series relationships, the problem of... graph based missing data forecasting spatiotemporal downsampling https://arxiv.org/abs/2502.08873v1 [2502.08873v1] Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Abstract page for arXiv paper 2502.08873v1: Robust Graph-Based Semi-Supervised Learning via $p$-Conductances semi supervised learning graph based robust https://aclanthology.org/K19-2014/ SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT - ACL Anthology Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, Min Zhang. Proceedings of the Shared Task on Cross-Framework Meaning Representation... graph based https://neo4j.com/blog/developer/advantage-graph-based-metadata-repository/?ref=blog Advantages of a Graph-Based Metadata Repository Mar 16, 2026 - Learn why the University of Washington chose to use a graph database as a metadata repository during their human capital management (HCM) system migration. of a graph based advantages metadata repository https://www.preprints.org/manuscript/202407.1040 A Knowledge Graph Based Implicit Requirements Mining Method in Personalized Products... In the context of crowds innovation and the generative design driven by big language models, the personalized requirements has become the best engine for... knowledge graph implicit requirements based https://aclanthology.org/2024.lrec-main.806/ Intrinsic Subgraph Generation for Interpretable Graph Based Visual Question Answering - ACL... Pascal Tilli, Ngoc Thang Vu. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation... visual question answering graph based intrinsic subgraph generation https://openreview.net/forum?id=SioWJvVx_pB&referrer=%5Bthe%20profile%20of%20Tao%20Wang%5D(%2Fprofile%3Fid%3D~Tao_Wang1) Gracker: A Graph-Based Planar Object Tracker. | OpenReview Matching-based algorithms have been commonly used in planar object tracking. They often model a planar object as a set of keypoints, and then find... a graph object tracker based planar openreview https://deepai.org/publication/graph-based-dynamic-segmentation-of-generic-objects-in-3d Graph based Dynamic Segmentation of Generic Objects in 3D | DeepAI Apr 17, 2019 - 04/17/19 - We propose a novel 3D segmentation method for RBGD stream data to deal with 3D object segmentation task in a generic scenario with... graph based dynamic segmentation generic objects in 3d deepai https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2025.1546635/full Frontiers | Graph-based analysis of histopathological images for lung cancer classification using... Lung cancer remains a leading cause of global cancer mortality, demanding precise diagnostic tools for accurate subtype classification. This paper introduces... graph based https://research.google/pubs/multi-turn-function-calling-via-graph-based-execution-and-translation/ Multi-turn Function-calling via Graph-based Execution and Translation function calling graph based multi turn via https://www.broadinstitute.org/publications/broad1370746 Graph-based deep reinforcement learning for haplotype assembly with Ralphi. | Broad Institute deep reinforcement learning graph based https://aclanthology.org/W16-2904/ Graph-based Semi-supervised Gene Mention Tagging - ACL Anthology Golnar Sheikhshab, Elizabeth Starks, Aly Karsan, Anoop Sarkar, Inanc Birol. Proceedings of the 15th Workshop on Biomedical Natural Language Processing. 2016. graph based semi supervised gene mention https://openreview.net/forum?id=iXidnZIzQA&referrer=%5Bthe%20profile%20of%20Chao%20Yan%5D(%2Fprofile%3Fid%3D~Chao_Yan5) Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation | OpenReview graph based https://deepai.org/publication/graph-based-clustering-under-differential-privacy Graph-based Clustering under Differential Privacy | DeepAI Mar 10, 2018 - 03/10/18 - In this paper, we present the first differentially private clustering method for arbitrary-shaped node clusters in a graph. This a... graph based differential privacy clustering deepai https://www.amazon.science/publications/enhancing-multi-document-summarization-with-cross-document-graph-based-information-extraction Enhancing multi-document summarization with cross-document graph-based information extraction -... Information extraction (IE) and summarization are closely related, both tasked with presenting a subset of the information contained in a natural language... multi document summarization graph based enhancing cross information https://arxiv.org/abs/2312.02037 [2312.02037] GFS: Graph-based Feature Synthesis for Prediction over Relational Databases Abstract page for arXiv paper 2312.02037: GFS: Graph-based Feature Synthesis for Prediction over Relational Databases graph based feature synthesis https://www.frontiersin.org/research-topics/10819/graph-based-methods-volume-i-graph-based-learning-and-its-applications-for-biomedical-data-analysis/magazine Graph-Based Methods Volume I: Graph-Based Learning and its applications for Biomedical Data... graph based volume i https://openreview.net/forum?id=GEm4o9A6Jfb PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair | OpenReview A single graph-based architecture can be applied to 16 seemingly different ML4Code tasks and achieves great results. https://openreview.net/forum?id=I2AD-xWJ2-J Graph Energy-based Model for Molecular Graph Generation | OpenReview We propose GEM, an EBM-based molecular graph generation method energy based model graph molecular generation openreview https://www.kth.se/math/kalender/busra-tas-a-data-driven-fuzzy-clustering-based-on-density-peaks-using-graph-distance-1.1213436?date=2022-12-14&orgdate=2022-03-01&length=1&orglength=306 Busra Tas: A Data-driven Fuzzy Clustering Based on Density Peaks Using Graph Distance | KTH https://www.mdpi.com/1424-8220/23/14/6527 Improved Skip-Gram Based on Graph Structure Information Applying the Skip-gram to graph representation learning has become a widely researched topic in recent years. Prior works usually focus on the migration... skip gram based on improved graph structure https://aclanthology.org/2022.coling-1.118/ Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and... Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu. Proceedings of the 29th International Conference on Computational Linguistics. 2022. https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2021.675978/full Frontiers | Pan-Cancer Metastasis Prediction Based on Graph Deep Learning Method Tumor metastasis is the major cause of mortality from cancer. From this perspective, detecting cancer gene-expression and transcriptome changes is important ... cancer metastasis based on deep learning frontiers pan https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1082534/full Frontiers | An online power system transient stability assessment method based on graph neural... The increasing penetration of renewable energy introduces more uncertainties and creates more fluctuations in power systems. Conventional offline time-domain... https://openreview.net/forum?id=DK4kl9eTIo Boltzmann Graph Networks: Efficient Energy-Based Framework for Graph Representation Learning |... With the rapid growth of interconnected data, graph-structured representations have become essential for modeling complex relational systems. Graph Neural... graph networks efficient energy boltzmann based framework https://openreview.net/forum?id=KUGwmnSdPV3&referrer=%5Bthe%20profile%20of%20Yixuan%20He%5D(%2Fprofile%3Fid%3D~Yixuan_He2) MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian | OpenReview We devise a novel magnetic signed Laplacian for signed directed networks and propose a GNN method based on that. graph neural network based on novel https://www.kth.se/math/kalender/nik-tavakolian-revealing-the-inner-workings-of-deep-neural-networks-a-graph-based-interpretability-framework-1.1373626?date=2024-12-02&orgdate=2024-05-15&length=1&orglength=0 Nik Tavakolian: Revealing the Inner Workings of Deep neural Networks: A Graph-Based... deep neural networks https://github.com/scenaristeur/ipgs/ GitHub - scenaristeur/ipgs: IPGS : InterPlanetary Graph System based on Solid & IPFS... based on github interplanetary graph system https://arxiv.org/abs/2310.08335 [2310.08335] 2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection Abstract page for arXiv paper 2310.08335: 2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection https://arxiv.org/abs/2403.18980 [2403.18980] A census of graph-drawing algorithms based on generalized transversal structures Abstract page for arXiv paper 2403.18980: A census of graph-drawing algorithms based on generalized transversal structures https://deepai.org/publication/structack-structure-based-adversarial-attacks-on-graph-neural-networks Structack: Structure-based Adversarial Attacks on Graph Neural Networks | DeepAI Jul 23, 2021 - 07/23/21 - Recent work has shown that graph neural networks (GNNs) are vulnerable to adversarial attacks on graph data. Common attack approac... graph neural networks adversarial attacks structure based deepai https://www.atlantis-press.com/proceedings/icammce-18/25897723 Research on Geographic Information Extraction Based on Knowledge Graph | Atlantis Press In the rapid development of the Internet, in order to achieve the effective extraction of geographical names information, the study of location information... geographic information research extraction based knowledge https://www.muni.cz/en/research/publications/1421365 Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph... https://github.com/graphprotocol/graph-client GitHub - graphprotocol/graph-client: The Graph library for building GraphQL-based dapps in a... The Graph library for building GraphQL-based dapps in a decentralized way. - GitHub - graphprotocol/graph-client: The Graph library for building GraphQL-based... https://openreview.net/forum?id=Z962wvHkzr9&referrer=%5Bthe%20profile%20of%20Abhay%20Mittal%5D(%2Fprofile%3Fid%3D~Abhay_Mittal1) Energy-Based Learning for Scene Graph Generation | OpenReview Traditional scene graph generation methods are trained using cross-entropy losses that treat objects and relationships as independent entities. Such a... energy based scene graph learning generation openreview https://www.preprints.org/manuscript/202405.0101 Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network[v1] |... Mechanical equipment is composed of several parts, the interaction between the parts exists throughout whole life cycle leads to the widespread phenomenon of... graph neural network fault diagnosis based on