{"total":20,"rows":[{"id":"2308.16406","title":"CktGNN: Circuit Graph Neural Network for Electronic Design Automation","created":"2023-08-31","cited_by_count":58,"area":null},{"id":"2407.11095","title":"DeepGate3: Towards Scalable Circuit Representation Learning","created":"2024-07-15","cited_by_count":26,"area":null},{"id":"2210.13148","title":"Transformers over Directed Acyclic Graphs","created":"2022-10-24","cited_by_count":23,"area":null},{"id":"2407.20912","title":"What Are Good Positional Encodings for Directed Graphs?","created":"2024-07-30","cited_by_count":8,"area":null},{"id":"2302.13608","title":"DeepSeq: Deep Sequential Circuit Learning","created":"2023-02-27","cited_by_count":7,"area":null},{"id":"2209.09245","title":"Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling","created":"2022-09-19","cited_by_count":5,"area":null},{"id":"2402.07268","title":"Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer","created":"2024-02-11","cited_by_count":3,"area":null},{"id":"2507.00880","title":"NN-Former: Rethinking Graph Structure in Neural Architecture Representation","created":"2025-07-01","cited_by_count":3,"area":null},{"id":"2402.01076","title":"DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks","created":"2024-02-02","cited_by_count":2,"area":null},{"id":"2410.00995","title":"CktGen: Automated Analog Circuit Design with Generative Artificial Intelligence","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2412.01849","title":"Towards Data-centric Machine Learning on Directed Graphs: a Survey","created":"2024-11-28","cited_by_count":2,"area":null},{"id":"2410.06460","title":"A Benchmark on Directed Graph Representation Learning in Hardware Designs","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2502.09365","title":"Simple Path Structural Encoding for Graph Transformers","created":"2025-02-13","cited_by_count":1,"area":null},{"id":"2503.23617","title":"Graph-Eq: Discovering Mathematical Equations using Graph Generative Models","created":"2025-03-30","cited_by_count":1,"area":null},{"id":"2506.06127","title":"Flow-Attentional Graph Neural Networks","created":"2025-06-06","cited_by_count":1,"area":null},{"id":"2309.00738","title":"Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability","created":"2023-09-01","cited_by_count":0,"area":null},{"id":"2402.07167","title":"Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy","created":"2024-02-11","cited_by_count":0,"area":null},{"id":"2506.07735","title":"Language Embedding Meets Dynamic Graph: A New Exploration for Neural Architecture Representation Learning","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2509.13735","title":"State Space Models over Directed Graphs","created":"2025-09-17","cited_by_count":0,"area":null},{"id":"2609.01430","title":"Learning Sparse Decision Trees via Transformer Variational Auto-Encoders","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}