Hanchen Wang
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    • FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
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    • Data-Centric Foundations of Agentic AI
    • EXG: Self-Evolving Agents with Experience Graphs
    • GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model
    • Multi-Agent Coordination Adaptation via Structure-Guided Orchestration
    • Towards Generative Graph Matching for Graph Edit Distance Computation
    • MGDN: A Graph of Graphs Neural Network for Malware Detection
    • Data in Agentic AI: A Comprehensive Survey
    • Accelerating K-Core Computation in Temporal Graphs
    • Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification
    • Algorithmic and Learning-based Approaches to Subgraph Matching and Counting: A Survey
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    • Computing Historical k-Core in Parallel
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    • Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
    • Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
    • Machine Learning for Graph Data Management and Query Processing
    • HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
    • Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach
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    • IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis
    • Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning
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    • Inferring gene regulatory networks by hypergraph generative model
    • RIDA: a robust attack framework on incomplete graphs
    • Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
    • Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms
    • Deep Learning Approaches for Similarity Computation: A Survey
    • Bipartite Graph Analytics: Current Techniques and Future Trends
    • Simple and Deep Graph Attention Networks
    • STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
    • Influence Maximization on Hypergraphs via Multi-Hop Influence Estimation
    • GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs
    • TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data
    • FPGN: follower prediction framework for infectious disease prevention
    • Group-based Fraud Detection Network on e-Commerce Platforms
    • Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions
    • Neural Similarity Search on Supergraph Containment
    • TMN: Trajectory Matching Networks for Learning Similarity Computation
    • Neural Subgraph Counting with Wasserstein Estimator
    • Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
    • Polarity-based Graph Neural Network for Sign Prediction in Signed Bipartite Graphs
    • Bipartite Graph Capsule Network
    • Powerful Graph of Graphs Neural Network for Structured Entity Analysis
    • Binarized Graph Neural Network
    • T3S: Effective Representation Learning for Trajectory Similarity Computation
    • EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search
    • GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
    • I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space
    • Skyline Nearest Neighbor Search on Multi-layer Graphs
    • I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space
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    • Zhouyang Xie
    • Runze Li
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    • Yang Yang
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    • Jiadong Chen
    • Dejun Kong
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    • Mengting Pan
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EXG: Self-Evolving Agents with Experience Graphs

May 1, 2026·
Yuxin Jin
,
Siyuan Zhang
Hanchen Wang
Hanchen Wang
,
Lu Qin
,
Ying Zhang
,
Wenjie Zhang
· 0 min read
DOI URL
Type
Journal article
Publication
CoRR (Preprint)
Last updated on Sep 7, 2026
Hanchen Wang
Authors
Hanchen Wang
ARC DECRA Fellow, Lecturer
← Data-Centric Foundations of Agentic AI May 1, 2026
GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model May 1, 2026 →

© 2026 Hanchen Wang. This work is licensed under CC BY NC ND 4.0

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