Subgraphs

Momentum

6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 49

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  1. Is manual software optimization a thing of the past?

    Sep 29, 2026Pavlin G. Poličar, Martin Špendl, Tomaž HočevarSoftwarePrompt Optimization

  2. Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing

    Sep 28, 2026Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim +1Graph Neural NetworksKnowledge Graph Embeddings

  3. Scalable Subgraph Sampling via Resistance Curvature

    Sep 23, 2026Chaoqun Fei, Tinglve Zhou, Tianyong Hao +1SubgraphsGraph Neural Networks

  4. Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Study

    Sep 16, 2026Shenjia Ding, David Flynn, Paul HarveyDigital TwinsAccurate Traffic Forecasting

  5. Disentangling Long-Term Memory via Latent Neuro-Symbolic Reasoning

    Sep 16, 2026Cai Ke, Xinghao Chen, Xiaoyu Shen +6Long-Term MemorySemantic Memory

  6. Can We Do Interpretable NLI with Graphs Based on Atomic Propositions?

    Sep 15, 2026Younes Boufouss, Luc Pommeret, Thomas Gerald +2Natural Language InferenceInterpretability

  7. Edge-Girth as a Structural Edge Feature for Graph Neural Networks

    Sep 1, 2026Lilian Marey, Charlotte LaclauGraph Neural NetworksSubgraphs

  8. Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference

    Aug 13, 2026Junzhi Li, Peng He, Qirui Ji +3Network TopologyCommunication Topologies

  9. KGCache: Amortized Subgraph Retrieval for KG Reasoning with LLMs

    Aug 8, 2026Uros Stanic, Changcheng Yuan, Sabuj Laskar +1Knowledge GraphsCache

  10. Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs

    Aug 7, 2026Yuning Yu, José Rodríguez-Piñeiro, Xuefeng Yin +1ClusteringCommunity Detection

  11. FastGFDs: Efficient Validation of Graph Functional Dependencies with Desbordante

    Aug 3, 2026Anton Chernikov, Yurii Litvinov, Kirill Smirnov +1SubgraphsProfiling

  12. EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis

    Jul 29, 2026Lei Zan, Keli Zhang, Shifeng Xie +7Root Cause AnalysisCausal Graph

  13. Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls

    Jul 23, 2026Jiancu Chen, Shuyin Xia, Guan Wang +2Graph Neural NetworksSubgraphs

  14. Discovering Frequent Closed Embedded Sub-DAGs in Spatio-Temporal Event Data

    Jul 7, 2026Piotr S. MaciągData MiningSpatiotemporal

  15. Scaling Weisfeiler-Leman Expressiveness Analysis to Massive Graphs with GPUs

    Jul 1, 2026Filippo Biondi, Mirco Tribastone, Max TschaikowskiGraph Neural NetworksSubgraphs

  16. SIR: Structured Image Representations for Explainable Robot Learning

    Jun 29, 2026Paul Mattes, Jan Schwab, Jens Bosch +5Robot PoliciesScalable Robot Learning

  17. 3D Spatial Pattern Matching

    Jun 25, 2026Nicole R. Schneider, Avik Das, Lukas Arzoumanidis +3Shape CorrespondenceSubgraphs

  18. Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index

    Jun 23, 2026Minghao Chen, Jiale ZhengSubgraphsGraph Laplacians

  19. MMGNN: Multi-level, multi-color graph neural networks for molecular property prediction

    Jun 18, 2026Trung Nguyen, Duc Duy NguyenMolecular Property PredictionGraph Neural Networks

  20. GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs

    Jun 10, 2026Hengyi Feng, Zeang Sheng, Meiyi Qiang +2Text-Attributed GraphGraph-Llm Integrations

  21. Differentially Private Range Subgraph Counting

    Jun 6, 2026Xian Chen, Ruobing Bai, Pan PengSubgraphsSubgroups

  22. End-to-End Subgraph Detection with GraphDETR

    Jun 4, 2026Dexiong Chen, Till Hendrik Schulz, Karsten BorgwardtSubgraphsGraph Neural Networks

  23. Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery

    Jun 4, 2026Alireza Bayat Makou, Jingcheng Niu, Subhabrata Dutta +1CircuitsNeural Circuits

  24. Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability

    Jun 4, 2026Jialiang Yin, Zheng Zhao, Linsey Pang +3Graph Neural NetworksExplainability

  25. Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion

    Jun 4, 2026Dongxiao He, Ruqiong Zhang, Zhizhi Yu +4Knowledge Graph CompletionGnn-Based Detectors

  26. Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation

    Jun 3, 2026Xin Zhang, Yang Cao, Baoxing Wu +2LLM Reasoning StrategiesMulti-Hop Reasoning

  27. Query-Limited Community Recovery in Stochastic Block Models

    Jun 1, 2026Sabyasachi Basu, Manuj Mukherjee, Lutz Oettershagen +1O(\Bar{K}\Log N)$Subgraphs

  28. Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?

    May 28, 2026Ojas Nimase, Jiate Li, Yue Zhao +1ExplainabilitySubgraphs

  29. MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training

    May 25, 2026Ziyu Zheng, Yaming Yang, Ziyu Guan +2SubgraphsPretraining

  30. RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases

    May 22, 2026Jinyu Yang, Cheng Yang, Junze Chen +4Relational Deep LearningRelational Databases

  31. Efficient Higher-order Subgraph Attribution via Message Passing

    May 21, 2026Ping Xiong, Thomas Schnake, Grégoire Montavon +2SubgraphsGraph Neural Networks

  32. SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs

    May 12, 2026Xiaoyuan Li, Moxin Li, Keqin Bao +4Unsupervised Skill DiscoveryLarge Language Model Agents

  33. Estimating Subgraph Importance with Structural Prior Domain Knowledge

    May 12, 2026Changhyun Kim, Seunghwan An, Jong-June JeonSubgraphsGraph Neural Networks

  34. PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation

    May 8, 2026Bingyu Yan, Xiaoming Zhang, Jinyu Hou +4LLM Defense MechanismsRemediation

  35. Federated Cross-Client Subgraph Pattern Detection

    May 7, 2026Selin Ceydeli, Rui Wang, Kubilay AtasuFederated Graph LearningSubgraphs

  36. GRAFT: Auditing Graph Neural Networks via Global Feature Attribution

    May 5, 2026Rishi Raj Sahoo, Subhankar MishraGraph Neural NetworksSubgraphs

  37. Subgraph Concept Networks: Concept Levels in Graph Classification

    Apr 20, 2026Lucie Charlotte Magister, Alexander Norcliffe, Iulia Duta +1Graph Neural NetworksSubgraphs

  38. Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells

    Apr 19, 2026Mattie Ji, Indradyumna Roy, Vikas GargPersistent HomologyGraph Neural Networks

  39. Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propagation

    Mar 20, 2026Lasse Marten Jantsch, Dong-Jae Koh, Seonghyeon Lee +1Transformer AttentionTransformer Architectures

  40. Provably Finding a Hidden Dense Submatrix among Many Planted Dense Submatrices via Convex Programming

    Jan 7, 2026Valentine Olanubi, Phineas Agar, Brendan AmesConvex RelaxationSubgraphs

  41. FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation

    Nov 17, 2025Aleksandar Stanković, Haoran Du, Xinming WangSubgraphsKnowledge Graph Embeddings

  42. Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning

    May 20, 2025Ruiyi Yang, Hao Xue, Imran Razzak +3Graph-Based Retrieval Augmented GenerationHievi-Rag