Graph Representations

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26 papers in the last 28 days · 0.4% of indexed attention

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Period ending 2026-09-21

10 new papers

A weekly snapshot of new work published in Graph Representations.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Graph Representations.

201 papers

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T-GINEE: A Tensor-Based Multilayer Graph Representation Learning
May 27, 2026Maolin Wang, Ziting Mai, Xuhui Chen +9Graph Neural Networks Complex Networks
EdgeFlow: Edge-Map Augmented VLM-Based Flowchart Processing for Industrial Requirements Engineering
May 26, 2026Zhifei Dou, Shabnam Hassani, Ou WeiDiagrams Ava-Vlm
GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing
May 26, 2026Pujun Zheng, Wanying Ren, Jiacheng Yao +2Peer Review Information Retrieval Metrics
Graph Mamba Survival Analysis Based on Topology-Aware ordering
May 23, 2026Yuanfang Chen, Peiqiang Yan, Yuntao Shou +2Bidirectional Mamba Computational Pathology
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
May 23, 2026Xiaofeng Lin, Han Bao, Hisashi KashimaHeterogeneous Treatment Effects Complex Networks
Self-supervised Adversarial Purification for Graph Neural Networks
May 22, 2026Woohyun Lee, Hogun ParkGraph Neural Networks Graph Representations
Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?
May 21, 2026Pedro C. Vieira, Pedro Ribeiro, Viacheslav BorovitskiyGraph Neural Networks Ensemble
GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving
May 21, 2026Ao Li, Shangpeng Yang, Fahao Chen +3Workflow Automation and Optimization Hierarchical Graph Memory
GHI: Graphormer over Conditioned Hypergraph Incidence for Aspect-Based Sentiment Analysis
May 21, 2026Yu Du, Wenlong Zhu, Xingze Li +3Sentiment Analysis Hypergraphs
Reinforced Graph of Thoughts: RL-Driven Adaptive Prompting for LLMs
May 21, 2026Manuel Noah Riesen, Peter Alfred von NiederhäusernLarge Language Model Reasoning Tree-Of-Thoughts
The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems
May 21, 2026Yohei NakajimaHierarchical Graph Memory Agentic Systems
Projecting Latent RL Actions: Towards Generalizable and Scalable Graph Combinatorial Optimization
May 19, 2026Franco Terranova, Guillermo Bernardez, Albert Cabellos-Aparicio +2Combinatorial Optimization Graph Representations
Planner-Admissible Graph-PDE Value Extensions for Sparse Goal-Conditioned Planning
May 18, 2026Shiheng ZhangClassical Planning Planning Methods
Topological Signal Processing: An Application-Oriented Tutorial
May 18, 2026Flavia Petruso, Maria Giulia Preti, Dimitri Van De VilleSignal Processing Graph Representations
Function graph transformers universally approximate operators between function spaces
May 18, 2026Takashi Furuya, David Mis, Ivan Dokmanić +2Probabilistic Operator Learning Heterogeneous Graph Transformers
Learning over Positive and Negative Edges with Contrastive Message Passing
May 18, 2026Peter Pao-Huang, Charilaos I. Kanatsoulis, Michael Bereket +1Message Passing Neural Networks Graph Representations
CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials
May 17, 2026Yanjie Li, Jian Xu, Xu-Yao Zhang +4Heterogeneous Catalysis Generative Inverse Design
Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities
May 16, 2026Sha Tao, Jiao Pan, Yu Guo +1Brain Tumor Segmentation Missing Modalities
GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction
May 15, 2026Liangyi Huang, Zichen Liu, Fei Shao +5Knowledge Graphs Graph Representations
OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
May 15, 2026Louisa Cornelis, Johan Mathe, Louis Van Langendonck +2Multi-Omic Framework Graph Neural Networks
A Unified Non-Parametric and Interpretable Point Cloud Analysis via t-FCW Graph Representation
May 14, 2026Haijian Lai, Bowen Liu, Man Xu +4Graph Representation Learning Graph Representations
GraphFlow: An Architecture for Formally Verifiable Visual Workflows Enabling Reliable Agentic AI Automation
May 14, 2026Drewry H. Morris, Luis Valles, Reza Hosseini GhomiAgentic Workflows Workflow Automation and Optimization
AIMing for Standardised Explainability Evaluation in GNNs: A Framework and Case Study on Graph Kernel Networks
May 14, 2026Magdalena Proszewska, N. SiddharthExplainability Graph Neural Networks
Why Retrieval-Augmented Generation Fails: A Graph Perspective
May 13, 2026Kai Guo, Xinnan Dai, Zhibo Zhang +5Multi-Hop Question Answering Benchmarks Graph Representations
Community-Aware Vertex Ordering for Reference-Based Graph Compression: A Cross-Encoder Empirical Study
May 13, 2026Jimmy DubuissonGraph Representations
IfcLLM: Natural Language Querying of IFC Models through Complementary Relational and Graph Representations
May 13, 2026Rabindra Lamsal, Sisi Zlatanova, Haowen Xu +2Natural Language Queries Foundation Model
GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?
May 12, 2026Kaixiang Zhao, Bolin Shen, Yuyang Dai +2Graph Neural Networks Graph Representations
SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory
May 12, 2026Juntong Wang, Haoyue Zhao, guanghui Pan +4Hierarchical Graph Memory Graph-Based Retrieval Augmented Generation
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
May 12, 2026Chengcheng Sun, Jiayun Tian, Cheng Zhai +5Graph Neural Networks Knowledge Graphs
The Polynomial Counting Capabilities of Message Passing Neural Networks
May 11, 2026Marco Sälzer, Pascal Bergsträßer, Anthony W. LinMessage Passing Neural Networks Modal Logic
Learning Graph Foundation Models on Riemannian Graph-of-Graphs
May 11, 2026Haokun Liu, Zezhong Ding, Xike XieGraph Foundation Model Graph Representations
Dependency-Aware Discrete Diffusion for Scene Graph Generation
May 9, 2026Rajalaxmi Rajagopalan, Romit Roy ChoudhuryHierarchical 3D Scene Graphs Large-Scale Image Generation
ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts
May 9, 2026Yang Luo, Zifeng Kang, Tiantian Ji +4Hierarchical Graph Memory Agent Memory
GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
May 8, 2026Peyman Baghershahi, Fangxin Wang, Debmalya Mandal +1Graph Neural Networks Conformal Prediction
Graph Computation Meets Circuit Algebra: A Task-Aligned Analysis of Graph Neural Networks for Electronic Design Automation
May 8, 2026Hyunmog KimElectronic Design Automation Gnn-Based Detectors
GraphReAct: Reasoning and Acting for Multi-step Graph Inference
May 8, 2026Xingtong Yu, Zhongwei Kuai, Chang Zhou +6Graph Representation Learning Graph Representations
GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges
May 8, 2026Jingjing Zhou, Shiyu Huang, Qing Qing +7Generalist Graph Anomaly Detection Graph Representations
A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
May 6, 2026Othmane Kabal, Mounira Harzallah, Fabrice Guillet +2Graph Neural Networks Knowledge Graphs
Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
May 6, 2026Shawn RayMulti-Agent Reinforcement Learning Graph Representations
Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation
May 6, 2026Jiangwen Dong, Bo Li, Wanyu LinIdeas Multi-Agent Evolution
Library learning with e-graphs on jazz harmony
May 6, 2026Zeng Ren, Maddy Bowers, Xinyi Guan +1Harmonic Tones Sheet Music
Reentrant value fields as delayed coupled reaction-diffusion systems on finite graphs
May 5, 2026Karsten BohlenOrdinary Differential Equations Attractors
Graph Federated Unlearning for Privacy Preservation
May 4, 2026Ruotong Ma, Wentao Yu, Qizhou Wang +2Federated Graph Learning Federated Learning
Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools
May 4, 2026Alina Du, Steven Heilman, Greta PanovaNon-Log-Concave Graph Representations
Stable Blanket with Hidden Variables and Cycles
May 3, 2026Hanqing XiangCausal Graph Latent Variable
RouteProfile: Graph-Based Profiling for Cold-Start LLM Routing
Apr 30, 2026Jingjun Xu, Hongji Pu, Tao Feng +3Large Language Model Routing Profiling
A Unified Framework of Hyperbolic Graph Representation Learning Methods
Apr 30, 2026Sofía Pérez Casulo, Marcelo Fiori, Bernardo Marenco +1Hyperbolic Learning Hypergraphs
ObjectGraph: From Document Injection to Knowledge Traversal -- A Native File Format for the Agentic Era
Apr 30, 2026Mohit Dubey, Open GiganticLarge Language Model Agents Graph Representations
From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking
Apr 30, 2026Yilun Zhu, Nikhita Vedula, Shervin MalmasiProducts Reranking
Robust Learning on Heterogeneous Graphs with Heterophily: A Graph Structure Learning Approach
Apr 30, 2026Yihan Zhang, Ercan E. KuruogluGraph Representation Learning Text-Attributed Graph
Unifying biomedical knowledge in a modern multimodal graph
Apr 29, 2026Lucas Vittor, Ayush Noori, Iñaki Arango +5Biomedical Knowledge Graph Biomedical Knowledge
Graph Construction and Matching for Imperative Programs using Neural and Structural Methods
Apr 29, 2026Arshad Beg, Diarmuid O'Donoghue, Rosemary MonahanGraph Representations Mock-Interface Synthesis
GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning
Apr 28, 2026Xingjian Hu, Zuoyu Yan, Jianhua Zhu +3Robust Multimodal Learning Federated Graph Learning
Layer Embedding Deep Fusion Graph Neural Network
Apr 25, 2026Taihua Xu, Genhao Tian, Jicong Fan +3Graph Neural Networks Graph Homophily
Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications
Apr 25, 2026Takaaki Fujita, Florentin SmarandacheGraph Theory Graph Representations
The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks
Apr 23, 2026Sebastiano A. Piccolo, Andrea TagarelliMaximum Independent Set Multiple Centrality Measures
GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA
Apr 23, 2026Anvitha Ramachandran, Dhruv Parikh, Viktor PrasannaGraph Neural Networks Sparse Deep Neural Network Accelerators
Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation
Apr 23, 2026Hanwen Gu, Chao Guo, Junle Wang +2Llm-Generated Stories Narratives
Spectral Embeddings Leak Graph Topology: Theory, Benchmark, and Adaptive Reconstruction
Apr 22, 2026Thinh Nguyen-Cong, Truong-Son Hy, Thang N. DinhFederated Graph Learning Graph Representation Learning
Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization
Apr 22, 2026Shan He, Runze Wang, Zhuoyun Du +4Multi-Agent Evolution Multi-Agent Systems

May 27, 2026 · cs.LGJ/K move · Enter open · S save

T-GINEE: A Tensor-Based Multilayer Graph Representation Learning

Maolin Wang, Ziting Mai, Xuhui Chen, Zhiqi Li+8

Traditional network analysis focuses on single-layer networks, real-world systems often form multilayer networks with multiple relationship types. However, existing methods typically fail to capture complex inter-layer dependencies by treating layers independently or aggregating them. To address this, we propose T-GINEE (Tensor-Based Generalized Multilayer-graph Estimating Equation), a statistical regularization framework combining tensor-based generalized estimating equations with task-specific loss to model cross-network correlations explicitly. Key innovations include: (1) CP tensor decomposition capturing structural dependencies via shared latent factors; (2) a generalized estimating equation framework modeling inter-layer correlations through working covariance matrices; and (3) a flexible link function accommodating characteristics like sparsity. Our theoretical analysis establishes consistency and asymptotic normality under mild conditions. Extensive experiments on synthetic and real-world datasets validate T-GINEE's effectiveness for multilayer network analysis.

Graph Neural Networks Complex Networks Two-Layer Neural Networks Graph Representations Regularization Techniques Loss Function

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