주제로 연구실 찾기

1. KAIST·데이터 마이닝

   신기정Data Mining Lab

   관련도관련 논문 42편비중 46%연구 분야에 명시
   • 2026Four-Set Hypergraphlets for Characterization of Directed HypergraphsIEEE TKDE
   • 2026Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and A Simple RemedyICML
   • 2026Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMsEMNLP
2. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 31편비중 32%연구 분야에 명시
   • 2026Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node ClassificationNeurIPS
   • 2026DefaultGNN: A Dual-Perspective GNN Framework for Predicting Corporate Default from Buyer-Seller Transaction NetworksCIKM
   • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative FilteringWWW
3. KAIST·데이터 마이닝

   황지영Big Data Intelligence Lab

   관련도관련 논문 16편비중 76%연구 분야에 명시
   • 2026Ask KG Agent: A Multi-Agent Framework for Code Localization Using Code and Knowledge GraphsNeurIPS
   • 2026FIETA: Few-Shot Inductive Knowledge Graph Completion via Task-Aware Graph Neural NetworksCIKM
   • 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete DiffusionICML
4. SNU·데이터 마이닝

   유재민Data AI Lab

   관련도관련 논문 14편비중 52%연구 분야에 명시
   • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative FilteringWWW
   • 2026View Space: Learning Representation across Arbitrary GraphsICML
   • 2026A Probabilistic Circuit Framework for Interpretable Graph PU LearningUAI
5. SNU·데이터 마이닝

   강유Data Mining Lab

   관련도관련 논문 13편비중 20%연구 분야에 명시
   • 2026Dual-level Reweighting for Positive-Unlabeled Graph ClassificationWWW
   • 2026Robust Node Classification via Noise-robust Views and Prototype RelabelingCIKM
   • 2026Sipu: Accurate Graph-based Positive-Unlabeled Learning under HeterophilyCIKM
6. POSTECH·머신러닝

   김동우, 옥정슬, 박상돈, 박은혁ML Lab

   관련도관련 논문 17편비중 14%연구 분야에 명시
   • 2026Posterior Label Smoothing for Node ClassificationAAAI
   • 2026Transductive Generalization for GNNs via Optimal TransportNeurIPS
   • 2025Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and BenchmarkKDD
7. SNU·AI 시스템

   이진호AISys Lab

   관련도관련 논문 9편비중 23%연구 분야에 명시
   • 2026TopGQ: Fast GNN Post-Training Quantization Leveraging Topology InformationDAC
   • 2026GriNNder: Breaking the Memory Capacity Wall in Full-Graph GNN Training with Storage OffloadingMLSys
   • 2025AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed SamplingVLDB
8. Yonsei·데이터 마이닝

   이경호ICL

   관련도관련 논문 7편비중 28%연구 분야에 명시
   • 2026LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge ExtractionACL
   • 2026RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question AnsweringWWW
   • 2026PlanQA: A Plan-Execute-Reason Framework for Knowledge Graph Question Answering Using Large Language ModelsExpert Systems with Applications
9. POSTECH·데이터 마이닝

   한욱신Data Systems Lab

   관련도관련 논문 7편비중 25%연구 분야에 명시
   • 2026FAILURE IS FEEDBACK: History-Aware Backtracking for Agentic Traversal in Multimodal GraphsICML
   • 2026TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose AnalyticsVLDB
   • 2026TurboLynx in Action: A Schemaless Graph Engine for General-Purpose AnalyticsVLDB
10. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 13편비중 18%
    • 2026Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNsAAAI
    • 2026Graph Representation Learning with Laplacian Pyramid Residuals for Graph ClassificationPAKDD
    • 2026Subgraph Plug-in Boosts up Graph Neural NetworksPAKDD
11. SNU·데이터 마이닝

    박현우DIAL Lab

    관련도관련 논문 6편비중 16%연구 분야에 명시
    • 2026From Text to Structure: The PACKaGE Benchmark for Bidirectional Causal Reasoning in Paragraphs and GraphsEMNLP
    • 2026InteractiveKG: Transparent and User-Controllable Knowledge Graph ReasoningPacificVis
    • 2026Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical SystemsICML
12. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 12편비중 16%
    • 2026A Variational Mean-Field Control Framework for Graph Representation LearningTPAMI
    • 2026Learning Multi-Scale Hypergraph for High-Order Brain Connectivity AnalysisICML
    • 2025Conditional Graph Diffusion with Topological Constraints for Brain Network GenerationMICCAI
13. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 10편비중 14%
    • 2026Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNsAAAI
    • 2026Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta ModulationICLR
    • 2026Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph PriorsICLR
14. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 5편비중 7%연구 분야에 명시
    • 2026HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAGNeurIPS
    • 2025Deformable Graph TransformerTPAMI
    • 2024Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog GenerationEMNLP
15. SNU·AI for Science

    김선BHI Lab

    관련도관련 논문 9편비중 15%
    • 2026Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation RepresentationsBioKDD
    • 2025LLM-Integrated Representative Path Selection for Context-Aware Drug Repurposing on Biomedical Knowledge GraphsNeurIPS
    • 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic EnvironmentsCVPR
16. KU·AI for Science

    감태의Medical AI Lab

    관련도관련 논문 6편비중 8%
    • 2026Brain Topology-Driven Graph Structure Learning for Functional Brain Network-Based Major Depressive Disorder DiagnosisISBI
    • 2026Subject-Adaptive Multi-Subgraph Framework for Brain Graph Out-of-Distribution GeneralizationIEEE SMC
    • 2025Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble LearningICEIC
17. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 8편비중 17%
    • 2025ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph RewiringICLR
    • 2024A Simple and Scalable Representation for Graph GenerationICLR
    • 2024EPIC: Graph Augmentation with Edit Path Interpolation via Learnable CostIJCAI
18. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 5편비중 6%
    • 2026EPLKG: Efficient Prompt Learning with Knowledge GraphPAKDD
    • 2026Graph Perceiver IO: A General Architecture for Graph-Structured DataPattern Recognition
    • 2024Dirichlet Stochastic Weights Averaging for Graph Neural NetworksApplied Intelligence
19. SNU·데이터 마이닝

    장준기

    관련도관련 논문 1편비중 7%연구 분야에 명시
    • 2026ProgNet: Program-Grounded Evidence Composition for Interpretable Graph ClassificationKDD
20. SNU·로보틱스

    오성회Robot Learning Lab

    관련도관련 논문 5편비중 12%
    • 2025Language-Guided Hierarchical Planning with Scene Graphs for Tabletop Object RearrangementIROS
    • 2025Multi-Agent Tsallis Actor-Critic for Autonomous Vehicle Fleet Coordination on Road Graph NetworksICCAS
    • 2024Commonsense-Aware Object Value Graph for Object Goal NavigationIEEE RA-L
21. SNU·자연어처리·LLM

    조요한

    관련도관련 논문 4편비중 7%
    • 2026In-N-Out: A Parameter-Level API Graph Dataset for Tool AgentsTACL
    • 2026Think Like a Doctor: Conversational Diagnosis through the Exploration of Diagnostic Knowledge GraphsTACL
    • 2023FactKG: Fact Verification via Reasoning on Knowledge GraphsACL
22. KAIST·AI for Science

    김우연Intelligent Chemistry Lab

    관련도관련 논문 4편비중 11%
    • 2025Discrete Diffusion Schrödinger Bridge Matching for Graph TransformationICLR
    • 2025HepatoToxicity Portal (HTP): an integrated database of drug-induced hepatotoxicity knowledgebase and graph neural network-based prediction modelJournal of Cheminformatics
    • 2025Facilitating Transition State Search with Minimal Conformational Sampling Using Reaction GraphJ. Chem. Theory Comput
23. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 4편비중 5%
    • 2026Bringing Real-World Relations into Video Generation with Graph-Structured KnowledgeACL
    • 2025ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph RewiringICLR
    • 2025Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping StrategyAAAI
24. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련도관련 논문 3편비중 7%
    • 2026Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay GraphECCV
    • 2026Rethinking Graph Convolution for 2D-to-3D Hand Pose LiftingCVPR
    • 2025Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic SegmentationCVPR
25. SNU·인간-AI 상호작용

    서진욱Human-Computer Interaction Lab

    관련도관련 논문 3편비중 5%
    • 2026Readability vs. Faithfulness: Unveiling Correlations between Graph Aesthetics and DR QualityEuroVis Workshop
    • 2026Seeing Graphs Like Humans: Benchmarking Computational Measures and MLLMs for Similarity AssessmentInformation Visualization
    • 2025Can VLMs Assess Similarity Between Graph Visualizations?PacificVis Poster
26. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 4편비중 3%
    • 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion ModelsNeurIPS
    • 2025A Mutual Information-Based Framework for Enhancing Graph Neural Networks on HeterophilyIEEE Access
    • 2024Non-backtracking Graph Neural NetworksTMLR
27. KU·컴퓨터 비전

    김동현UTL Lab

    관련도관련 논문 4편비중 9%
    • 2025RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype LearningAAAI
    • 2025Weakly Supervised Video Scene Graph Generation via Natural Language SupervisionICLR
    • 2024Adaptive Self-training Framework for Fine-grained Scene Graph GenerationICLR
28. KAIST·AI for Science

    최윤재

    관련도관련 논문 4편비중 6%
    • 2026HiddenPathQA: A Benchmark for Knowledge Graph Question Answering When Questions Hide Their PathsNeurIPS
    • 2025R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge GraphsIJCNLP-AACL Findings
    • 2023FactKG: Fact Verification via Reasoning on Knowledge GraphACL
29. KAIST·로보틱스

    박대형RIRO Lab

    관련도관련 논문 3편비중 20%
    • 2026SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained EnvironmentsICRA
    • 2024Graph-based 3D Collision-distance Estimation Network with Probabilistic Graph RewiringICRA
    • 2023SGGNet2: Speech-Scene Graph Grounding Network for Speech-guided NavigationRO-MAN
30. SNU·음성·오디오

    이교구MARG

    관련도관련 논문 4편비중 5%
    • 2025Reverse Engineering of Music Mixing Graphs with Differentiable Processors and Iterative PruningJournal of the Audio Engineering Society
    • 2024GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorchDAFx
    • 2024Searching for Music Mixing Graphs: A Pruning ApproachDAFx
31. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련도관련 논문 3편비중 5%
    • 2026M3KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented GenerationCVPR
    • 2024Bridging the Domain Gap by Clustering-based Image-Text Graph MatchingICPR
    • 2024Self-Supervised Multimodal Graph Convolutional Network for Collaborative FilteringInformation Sciences
32. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 3편비중 6%
    • 2025Efficient Approximate Nearest Neighbor Search via Data-AdaptiveParameter Adjustment in Hierarchical Navigable Small GraphsDATE
    • 2025TheProtein: Evolutionarily Informed Graph-Surface Protein RepresentationBIBM
    • 2024DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention NetworkECAI
33. SNU·인간-AI 상호작용

    서봉원Human Centered Computing Lab

    관련도관련 논문 4편비중 8%
    • 2024LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud DetectionCIKM
    • 2024HopLearn: Leveraging Multi-Hop Neighbors and Learnable Parameters for GNNs with Missing Node FeaturesLecture Notes in Computer Science
    • 2024SymphoNEI: Symphony of Node and Edge Inductive Representations on Large Heterophilic GraphsLecture Notes in Computer Science
34. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 3편비중 5%
    • 2025Graph Spectral Filtering with Chebyshev Interpolation for RecommendationSIGIR
    • 2025ReducedGCN: Learning to Adapt Graph Convolution for Top-N RecommendationPAKDD
    • 2024Content-based Graph Reconstruction for Cold-start item recommendationSIGIR
35. SNU·AI 시스템

    서지원Machine Learning Systems Lab

    관련도연구 분야에 명시
36. KAIST·컴퓨터 비전

    김태균CV & Learning Lab

    관련도관련 논문 3편비중 9%
    • 2025BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory PredictionIEEE TNNLS
    • 2024Hand-Object Reconstruction via Interaction-aware Graph Attention MechanismICIP
    • 2024Temporally enhanced graph convolutional network for hand tracking from an egocentric cameraVirtual Reality
37. KU·머신러닝

    김성웅, 임성빈AGI Lab

    관련도관련 논문 2편비중 6%
    • 2026Plan-and-Verify Video Reward Reasoning with Spatio-Temporal Scene Graph GroundingEMNLP
    • 2025Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph UtilizationNeurIPS
38. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 2편비중 5%
    • 2026Flock: A Knowledge Graph Foundation Model via Learning on Random WalksICLR
    • 2025Revisiting Random Walks for Learning on GraphsICLR
39. Yonsei·AI 시스템

    김영석HPCP Lab

    관련도관련 논문 3편비중 11%
    • 2024CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPUICPP
    • 2024GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server ClustersPACT
    • 2023SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network AcceleratorsHPCA
40. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 3편비중 4%
    • 2024Spear and shield: adversarial attacks and defense methods for model-based link prediction on continuous-time dynamic graphsAAAI
    • 2024Learning dynamic brain connectome with graph transformers for psychiatric diagnosis classificationISBI
    • 2023Large-scale graph representation learning of dynamic brain connectome with transformersNeurIPS
41. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 3편비중 2%
    • 2024Unknown-Aware Graph Regularization for Robust Semi-Supervised Learning from Uncurated DataAAAI
    • 2024Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly DetectionInformation Sciences
    • 2023Learning Spatiotemporal Graph Representations for Visual Perception using EEG SignalsIEEE TNSRE
42. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 3편비중 13%
    • 2024Exact Graph Matching in Correlated Gaussian-Attributed Erdos-Renyi ModelISIT
    • 2023Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant CorrelationICML
    • 2023Graph Matching in Correlated Stochastic Block Models for Improved Graph ClusteringAllerton
43. SNU·머신러닝

    장병탁BI Lab

    관련도관련 논문 2편비중 3%
    • 2025INQUIRER: Harnessing internal knowledge graphs for video question generationKnowledge-Based Systems
    • 2024Decomposing the Configuration of an Articulated Object via Graph Neural NetworkCoRL
44. POSTECH·음성·오디오

    서영주AIoT Lab

    관련도관련 논문 2편비중 6%
    • 2025A Wi-Fi Fingerprinting Indoor Localization Framework Using Feature-Level Augmentation via Variational Graph Auto-EncoderElectronics
    • 2023GConvLoc: WiFi Fingerprinting-Based Indoor Localization using Graph Convolutional NetworksIEICE Transactions on Information and Systems
45. SNU·AI 시스템

    성효진CODE Lab

    관련도관련 논문 1편비중 8%
    • 2026PLUG: Processing-in-memory LUT Gathering for Graph ANNSIEEE Computer Architecture Letters
46. POSTECH·컴퓨터 비전

    김광인MLV Group

    관련도관련 논문 1편비중 8%
    • 2026HInT: Hypergraph infusion at the structural layers improves table understandingICML
47. KAIST·컴퓨터 비전

    김승욱GLOW Lab

    관련도관련 논문 1편비중 7%
    • 2026Connecting the Objects: Relational Occlusion Graphs for Amodal SegmentationPattern Recognition Letters
48. SNU·머신러닝

    홍영준MLSC Lab

    관련도관련 논문 2편비중 6%
    • 2024Simple arithmetic operation in latent space can generate a novel three dimensional graph metamaterialsnpj Computational Materials
    • 2024A novel physics-aware graph networks using high-order numerical methods in weather forecasting modelKnowledge-Based Systems
49. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련도관련 논문 1편비중 6%
    • 2026Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented GenerationKDD
50. SNU·인간-AI 상호작용

    권가진CC Lab

    관련도관련 논문 1편비중 5%
    • 2026MF-EDM: Graph-based Multimodal Fusion and Emotional Dynamics Modeling for Emotion Recognition in ConversationINTERSPEECH
51. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련도관련 논문 1편비중 5%
    • 2026Transductive Generalization for GNNs via Optimal TransportNeurIPS
52. SNU·AI for Science

    이승근

    관련도관련 논문 1편비중 4%
    • 2026SNACK: A Sequential Notation Framework for Probabilistic Graph GenerationNeurIPS
53. KU·음성·오디오

    김찬우SLPL

    관련도관련 논문 1편비중 4%
    • 2026HiGraph: Explicit Discrepancy Reasoning with Hierarchical Graph Propagation for Joint Pronunciation AssessmentEMNLP Findings
54. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 1편비중 3%
    • 2026Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial ProcessesIEEE TASE
55. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 2편비중 3%
    • 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation LearningICML
    • 2024Multi-hop Database Reasoning with Virtual Knowledge GraphKaLLM
56. SNU·머신러닝

    오민환

    관련도관련 논문 1편비중 2%
    • 2026SNACK: A Sequential Notation Framework for Probabilistic Graph GenerationNeurIPS
57. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 1편비중 2%
    • 2026Learning graph based individual intrinsic reward for multi-agent reinforcement learningICT Express
58. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 1편비중 1%
    • 2026VGGT-Bridge: Beyond Sequential Pose Graphs via Coarse-Stride Skip EdgesACCV
59. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 1편비중 1%
    • 2026SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory PredictionNeurIPS
60. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련도관련 논문 1편비중 1%
    • 2026Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language ModelACL

+37

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.