graph analysis

GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models ICCV 2025 Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMs EMNLP 2025 Bridge the Points: Graph-based Few-shot Segment Anything Semantically NeurIPS 2024 Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models NeurIPS 2024 Graph fission and cross-validation AISTATS 2024 Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract) AAAI 2024 Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis EMNLP 2024 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT NeurIPS 2023 On Manipulating Weight Predictions in Signed Weighted Networks AAAI 2023 TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs AAAI 2023 An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees ICML 2022 Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022 Differentially Describing Groups of Graphs AAAI 2022 DeepWalking Backwards: From Embeddings Back to Graphs ICML 2021 Differentially Private Link Prediction with Protected Connections AAAI 2021 Learning Stochastic Equivalence based on Discrete Ricci Curvature IJCAI 2021 BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain IJCAI 2020 Scikit-network: Graph Analysis in Python JMLR 2020 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 2019 From the Periphery to the Core: Information Brokerage in an Evolving Network IJCAI 2018 Network Global Testing by Counting Graphlets ICML 2018 Out-of-sample extension of graph adjacency spectral embedding ICML 2018 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 “PageRank” for Argument Relevance EACL 2017 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016