{"total":23,"rows":[{"id":"2205.15733","title":"Template based Graph Neural Network with Optimal Transport Distances","created":"2022-05-31","cited_by_count":20,"area":null},{"id":"2110.02887","title":"Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings","created":"2021-10-06","cited_by_count":19,"area":null},{"id":"2203.10453","title":"Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport","created":"2022-03-20","cited_by_count":19,"area":null},{"id":"2103.15622","title":"Graph Classification by Mixture of Diverse Experts","created":"2021-03-29","cited_by_count":16,"area":null},{"id":"2306.15963","title":"Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications","created":"2023-06-28","cited_by_count":15,"area":null},{"id":"2408.11370","title":"Graph Classification via Reference Distribution Learning: Theory and Practice","created":"2024-08-21","cited_by_count":11,"area":null},{"id":"2402.03785","title":"Weakly Supervised Anomaly Detection via Knowledge-Data Alignment","created":"2024-02-06","cited_by_count":10,"area":null},{"id":"2306.01631","title":"Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations","created":"2023-06-02","cited_by_count":6,"area":null},{"id":"2402.01975","title":"Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks","created":"2024-02-03","cited_by_count":4,"area":null},{"id":"2208.06322","title":"EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model","created":"2022-08-12","cited_by_count":3,"area":null},{"id":"2309.12323","title":"Evaluating the diversity and utility of materials proposed by generative models","created":"2023-08-09","cited_by_count":2,"area":null},{"id":"2311.10808","title":"Multiparameter Persistent Homology for Molecular Property Prediction","created":"2023-11-17","cited_by_count":2,"area":null},{"id":"2405.16185","title":"Differentiable Cluster Graph Neural Network","created":"2024-05-25","cited_by_count":2,"area":null},{"id":"2501.17443","title":"Gradual Domain Adaptation for Graph Learning","created":"2025-01-29","cited_by_count":2,"area":null},{"id":"2503.10663","title":"Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2303.08157","title":"Graph Neural Network Surrogates of Fair Graph Filtering","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2310.11762","title":"A Quasi-Wasserstein Loss for Learning Graph Neural Networks","created":"2023-10-18","cited_by_count":1,"area":null},{"id":"2512.02130","title":"Cross-View Topology-Aware Graph Representation Learning","created":"2025-12-01","cited_by_count":1,"area":null},{"id":"2106.07501","title":"Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy","created":"2021-06-14","cited_by_count":0,"area":null},{"id":"2306.10505","title":"Structure-Sensitive Graph Dictionary Embedding for Graph Classification","created":"2023-06-18","cited_by_count":0,"area":null},{"id":"2403.17995","title":"Semi-Supervised Image Captioning Considering Wasserstein Graph Matching","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2408.03342","title":"Graph Residual based Method for Molecular Property Prediction","created":"2024-07-27","cited_by_count":0,"area":null},{"id":"2605.27931","title":"DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}