Token Co-Occurrence Graphs

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9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

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  1. Do Temporal Link Predictors Need Learned Memory? A Smoothed-Count Baseline with a Handful of Parameters

    Sep 28, 2026Lisi Qarkaxhija, Ingo ScholtesZero-Shot Link PredictionTemporal Graph Neural Networks

    Chair of Machine Learning for Complex Networks Center for Artificial Intelligence and Data Science (CAIDAS) Julius-Maximilians-Universität Würzburg, DE

  2. ConRAG: Lightweight inference of multi-hop relations

    Sep 28, 2026Kilian Bänziger, Sonia Laguna, Markus Kreft +4Multi-Hop ReasoningRelation Extraction

    Agentic Systems Lab ETH Zurich · Agentic Systems Lab, ETH Zurich Norwegian University of Science and Technology

  3. ChronoFlow: Hierarchical Flow Matching for Irregular Time Series Generation

    Sep 27, 2026Changhun Kim, Sunguk Jang, Jeongjun Lee +5Time-Series GenerationTime Series

    University of Wisconsin–Madison · AITRICS · KAIST

  4. Predicting Emerging Topics from Outliers: A Prospective Study of Weak Signals in Embedding Space

    Sep 24, 2026Evangelia Zve, Gauvain Bourgne, Jean-Gabriel GanasciaTopic ModelingOutliers

    LIP6, Sorbonne Université, CNRS · Infopro Digital

  5. EPGM: Execution Provenance for Budgeted Agent Memory Retrieval

    Sep 22, 2026Yiqi Wang, Jinqian Ju, Jiaqi Zhang +4ProvenanceToken Co-Occurrence Graphs

    University of Southern Queensland Australia · Southern University of Science and Technology China · Jiangsu University China +2

  6. Beyond Class Marginals: Bounding Rehearsal Gaps without Freezing Class Co-occurrence

    Sep 22, 2026Congren Dai, Nat Roongjirarat, Fei YeLayer-Selective Rehearsal StrategyDeterministic Replay

    Imperial College London · King’s College London · University of Electronic Science and Technology of China

  7. Time-Aligned Evolving Concept Graphs for Scientific Relation Forecasting

    Sep 16, 2026Fred Sun, Jingze Wang, Minkun Xu +1Temporal Knowledge GraphsZero-Shot Link Prediction

    Center for Brain-Inspired Computing Research, Department of Precision Instrument, Tsinghua University, Beijing, China · Guangdong Institute of Intelligence Science and Technology, Zhuhai, China

  8. Sample-Conditioned Representation Selection for Audio Few-Shot Learning

    Sep 15, 2026Fengrui Liu, Ningxin Shen, Yi Li +3Neural AudioFew-Shot Learning

    National Key Laboratory of Space Integrated Information System, Institute of Software, Chinese Academy of Sciences · School of Computer Science, Nanjing University · School of Computer Science and Technology, East China Normal University +1

  9. Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data

    Sep 9, 2026Nizam Mohammed, Abu B. S. Rahman, Dimuthu D. K. ArachchigeMusic Structure AnalysisToken Co-Occurrence Graphs

    School of Computing, DePaul University, Chicago, IL 60604, USA · Department of Computer Science, Hampton University, VA 23669, USA

  10. (V)LMs generalize beyond surface co-occurrence: Evidence from cross-modal number agreement

    Aug 31, 2026Zach Studdiford, Kanishka MisraVlm-To-Vla Capability TransferToken Co-Occurrence Graphs

    Department of Psychology · University of Wisconsin-Madison · Department of Linguistics +1

  11. Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment

    Aug 30, 2026Lutz Oettershagen, Honglian Wang, Aristides GionisHypergraphsUnsupervised

    University of Liverpool · Liverpool, UK · KTH Royal Institute of Technology +2

  12. Dual-Stream Cross-Anchor Correction Grounding Long-Form Captions and the Domain Limits of Object-Level Anchors

    Aug 13, 2026LingKai BuToken Co-Occurrence GraphsCorrection

    Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

  13. Who Gets Heeded? An Obligation-Level Audit of Responsiveness in EPA Rulemaking

    Aug 11, 2026Jianing Fan, Yue YaoRegulationModel Auditing

    Columbia University New York, NY, USA

  14. C2^2A: Coupling Spatial Evidence with Clinical Priors via Co-occurrence Aware Class Attention for Multi-Label Chest X-Ray Classification

    Aug 10, 2026Akash Gogineni, Nagur Shareef Shaik, Aasrith Mandava +2Chest X-RayMedical Image Classification

    Department of Computer Science, Georgia State University, Atlanta, GA 30324, USA · UST Global Inc., Aliso Viejo, CA 92656, USA

  15. Multi-Relational Knowledge Graph Enhanced Embedding for Trajectory-User Linking

    Aug 9, 2026Zhifeng Chu, Bin WangZero-Shot Link PredictionTrajectory Generation

    the College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, 201400, China

  16. From Prediction to Explainable Provider Behavior Profiles for Fraud, Waste, and Abuse Review

    Jul 31, 2026Yubin Park, Evan BrocinerFraud DetectionGeneration Provenance

    Falcon Health, Inc.

  17. Room-Mediated Co-occurrence for Zero-Shot Object-Centric Semantic Navigation via Frontier Scoring

    Jul 28, 2026Adam Scicluna, Gavin Paul, Alen AlempijevicVision-Language NavigationObject Goal Navigation

    Robotics Institute, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Sydney, Australia

  18. Two-Step Occupation Coding

    Jul 22, 2026Alexander M. Esser, Jens DörpinghausNamed-Entity RecognitionJobs

    University of Koblenz, Germany · 2Federal Institute for Vocational Education and Training (BIBB), Bonn, Germany · 3Linnaeus University (LNU), Växjö, Sweden

  19. Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis

    Jul 6, 2026Muhammad Rizwan, David Nabergoj, Jure DemšarDepressionAutism Spectrum Disorder

    Faculty of Computer and Information Science, University of Ljubljana, Slovenia

  20. Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis

    Jul 4, 2026Woojin Jeong, Yujin Choi, Dongbin Kim +2Chest X-RayTest-Time Adaptation

    Seoul National University, 1, Gwanak-ro, Seoul, 08826, Republic of Korea · Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore · UNIST, 50, UNIST-gil, Ulsan, 44919, Republic of Korea

  21. TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence Modeling

    Jul 1, 2026Tong Shao, Hongshun Ling, Li Zhang +4Chest X-RayMedical Image Classification

    School of Biomedical Engineering, South-Central Minzu University, Wuhan 430074, China

  22. One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG

    Jun 30, 2026Shivam Ratnakar, Yixuan Zhu, Cecilia Cheng +1Hievi-RagPrecision Recall

    University of Southern California

  23. GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis

    Jun 29, 2026Rasul Khanbayov, Erchin Serpedin, Hasan KurbanLesionDiagnosis

    1Hamad Bin Khalifa University · 2Texas A&M University

  24. Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs

    Jun 29, 2026Gianluca Bonifazi, Christopher Buratti, Michele Marchetti +5Graph-Based Retrieval Augmented GenerationGraph-Llm Integrations

    aUniversità Politecnica delle Marche, Ancona, Italy · bUniversità di Modena e Reggio Emilia, Modena, Italy

  25. A Generalization Theory for JEPA-Based World Models

    Jun 25, 2026Jingyi Cui, Qi Zhang, Hongwei Wen +1Joint-Embedding Predictive ArchitecturesWorld Models

    State Key Lab of General AI, School of Intelligence Science and Technology, Peking University · University of Sydney

  26. When Certainty Is an Artifact: Keyword Lexicon Blindness and the (Mis)Measurement of Rhetorical Stance

    Jun 24, 2026Bo ChenRhetoricAttitude

    Institute of Computing Technology, Chinese Academy of Sciences

  27. KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction

    Jun 24, 2026Naman Garg, Sarika Jain, Sourav Yadav +4Genome-Wide Association StudyClinical Prediction

    National Institute of Technology Kurukshetra, Kurukshetra, India · Indian Institute of Information Technology Manipur, Manipur, India · Purdue University, West Lafayette, IN, USA +1

  28. Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning

    Jun 23, 2026Jiayi Lei, Yuandong Pu, Xingyu Han +8Modern Text-To-Image ModelsText-To-Image

    Shanghai Jiao Tong University · Shanghai AI Laboratory · The Chinese University of Hong Kong

  29. Co-occurring associated retained concepts in Diffusion Unlearning

    Jun 23, 2026Miso Kim, Georu Lee, Yunji Kim +3Concept ErasureChild Sexual Abuse Material

    Dongguk University-Seoul · Chung-Ang University · Korea Institute for Advanced Study

  30. Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers

    Jun 23, 2026Yuzhuo Wang, Chengzhi Zhang, Min Song +3Multiple Centrality MeasuresAlgorithmic Cores

    Department of Management Science and Engineering, Anhui University, Hefei, 230601, China · Department of Information Management, Nanjing University of Science and Technology, Nanjing, 210094, China · Department of Information Science, Yonsei University, Seoul, 03722, Korea

  31. HANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models

    Jun 22, 2026Hoang-Bao Le, Aiden Durrant, Thai Son Mai +3NegationImage-Text Pairs

    ADAPT Centre, Dublin City University, Dublin, Ireland · University of East Anglia, Norwich, UK · Queen’s University Belfast, Belfast, UK +1

  32. Geometry of Semantic Space: Comparative Study of Discrete and Continuous Models

    Jun 5, 2026Gabriel Bounias, Sabine PlouxContextual EmbeddingsSemantic Relationships

    ISC-PIF (Institut des Systemes Complexes de Paris IdF), CNRS, France · CAMS (Centre d’analyse et de mathématique sociales), CNRS & EHESS, Paris, France

  33. AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes

    Jun 1, 2026Yaoting Wang, Yun Zhou, Zipei Zhang +1Audio-Visual ReasoningAutomatic Speaker Verification

    Institute of Big Data, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China.

  34. SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching

    May 29, 2026Inwon Kang, Kavitha Srinivas, Nandana Mihindukulasooriya +4SchemaKnowledge Graph Embeddings

    Rensselaer Polytechnic Institute · Troy, New York, USA · IBM Research +2

  35. What Makes Chain-of-Thought Work at Probe Time? Local Co-occurrence Rather Than Global Derivation

    May 26, 2026Xiang Wang, Wei WeiChain-of-Thought ReasoningToken Co-Occurrence Graphs

    Huazhong University of Science and Technology

  36. Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence

    May 22, 2026Andres Nava, Matthieu WyartContextual EmbeddingsToken Co-Occurrence Graphs

    Johns Hopkins University · EPFL & Johns Hopkins University

  37. SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation

    May 17, 2026Mohammad Nasir UddinFraud DetectionInterleaved Graph Attention

    Taskimpetus Inc., Los Angeles, CA 90020, USA

  38. Proposal and study of statistical features for string similarity computation and classification

    May 14, 2026E. O. Rodrigues, D. Casanova, M. Teixeira +5Similarity and MetricsStylometric

    Academic Department of Informatics, Universidade Tecnológica Federal do Paraná (UTFPR), Paraná, Brazil · Department of Computer Science, Universidade Federal Fluminense (UFF), Rio de Janeiro, Brazil · Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE

  39. Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models

    May 9, 2026Guodong Ding, Angela YaoPersonalizationTraining-Side Stage-Aware Low-Rank Adaptation

    National University of Singapore

  40. Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis

    May 8, 2026Boyang Dai, Chaoqi Chen, Yizhou YuOut-Of-Distribution DetectionOut-Of-Distribution

    1The University of Hong Kong · 2Shenzhen University · 3Shenzhen Loop Area Institute

  41. From Token Lists to Graph Motifs: Weisfeiler-Lehman Analysis of Sparse Autoencoder Features

    May 7, 2026Ruben Fernandez-Boullon, Pablo Magariños-Docampo, Javier Perez-RoblesSparse Autoencoder FeaturesToken Co-Occurrence Graphs

    University of Vigo

  42. Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025

    Apr 26, 2026Seongjin ChoiAuthorshipToken Co-Occurrence Graphs

    Department of Civil, Environmental, and Geo-Engineering, University of Minnesota Twin Cities, 500 Pillsbury Dr. SE, Minneapolis, MN 55455, USA

  43. Convergent Evolution: How Different Language Models Learn Similar Number Representations

    Apr 22, 2026Deqing Fu, Tianyi Zhou, Mikhail Belkin +2Language ModelingFeature Learning

    University of Southern California · UC San Diego

  44. CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation

    Apr 21, 2026Qian Zhang, Lech Szymanski, Haibo Zhang +1Multimodal Recommendation ModelSequential Recommendation

    School of Computing, University of Otago · Dunedin, New Zealand · University of New South Wales +1

  45. Architectural Design Decisions in AI Agent Harnesses

    Apr 20, 2026Hu WeiProduction Agentic SystemsMediation

  46. Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition

    Jan 22, 2026Geo Ahn, Inwoong Lee, Taeoh Kim +3Open-Vocabulary Action RecognitionCompositional Generalization

    1Kyung Hee University · ∗This work was done during an internship at NAVER Cloud. · 2NAVER Cloud

  47. Taming Modality Entanglement in Continual Audio-Visual Segmentation

    Oct 20, 2025Yuyang Hong, Qi Yang, Tao Zhang +5Video Object SegmentationEntanglement

    School of Artificial Intelligence, UCAS · 2MAIS, Institute of Automation · School of Intelligent Science and Technology, University of Science and Technolog Beijing

  48. LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

    Sep 3, 2025Daniela Gottesman, Alon Gilae-Dotan, Ido Cohen +4Large Language Model PretrainingToken Co-Occurrence Graphs

    Tel Aviv University · Mila – Quebec AI Institute & McGill University

  49. Popular but Wrong: Understanding and Mitigating LLM Overconfidence through Knowledge Popularity

    May 23, 2025Shiyu Ni, Keping Bi, Jiafeng Guo +1OverconfidenceLarge Language Models Fail

    CAS Key Lab of Network Data Science and Technology, ICT, CAS · State Key Laboratory of AI Safety · University of Chinese Academy of Sciences