{"total":69,"rows":[{"id":"2402.02216","title":"Position: Graph Foundation Models are Already Here","created":"2024-02-03","cited_by_count":86,"area":null},{"id":"2406.18380","title":"KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning","created":"2024-06-26","cited_by_count":49,"area":null},{"id":"2406.10727","title":"Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights","created":"2024-06-15","cited_by_count":44,"area":null},{"id":"2310.00793","title":"Revisiting Link Prediction: A Data Perspective","created":"2023-10-01","cited_by_count":29,"area":null},{"id":"2406.16321","title":"Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning","created":"2024-06-24","cited_by_count":29,"area":null},{"id":"2309.00976","title":"Pure Message Passing Can Estimate Common Neighbor for Link Prediction","created":"2023-09-02","cited_by_count":18,"area":null},{"id":"2406.07926","title":"Efficient Neural Common Neighbor for Temporal Graph Link Prediction","created":"2024-06-12","cited_by_count":18,"area":null},{"id":"2310.11009","title":"LPFormer: An Adaptive Graph Transformer for Link Prediction","created":"2023-10-17","cited_by_count":17,"area":null},{"id":"2310.04612","title":"A Topological Perspective on Demystifying GNN-Based Link Prediction Performance","created":"2023-10-06","cited_by_count":11,"area":null},{"id":"2402.03814","title":"Masked Graph Autoencoder with Non-discrete Bandwidths","created":"2024-02-06","cited_by_count":11,"area":null},{"id":"2402.08583","title":"Mixture of Link Predictors on Graphs","created":"2024-02-13","cited_by_count":10,"area":"moe"},{"id":"2409.17475","title":"On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks","created":"2024-09-26","cited_by_count":10,"area":null},{"id":"2508.05673","title":"Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems","created":"2025-08-04","cited_by_count":9,"area":null},{"id":"2406.01899","title":"Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models","created":"2024-06-04","cited_by_count":8,"area":"diffusion"},{"id":"2602.08592","title":"TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models","created":"2026-02-09","cited_by_count":7,"area":null},{"id":"2406.09675","title":"A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness","created":"2024-06-14","cited_by_count":6,"area":null},{"id":"2409.08658","title":"Promoting Fairness in Link Prediction with Graph Enhancement","created":"2024-09-13","cited_by_count":6,"area":null},{"id":"2312.16784","title":"Learning Scalable Structural Representations for Link Prediction with Bloom Signatures","created":"2023-12-28","cited_by_count":4,"area":null},{"id":"2411.03845","title":"Reconsidering the Performance of GAE in Link Prediction","created":"2024-11-06","cited_by_count":4,"area":null},{"id":"2506.05766","title":"BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions","created":"2025-06-06","cited_by_count":4,"area":"lr"},{"id":"2506.24018","title":"Bridging Theory and Practice in Link Representation with Graph Neural Networks","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2510.09416","title":"What Do Temporal Graph Learning Models Learn?","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2406.04805","title":"GENIE: Watermarking Graph Neural Networks for Link Prediction","created":"2024-06-07","cited_by_count":3,"area":null},{"id":"2406.16687","title":"Link Prediction with Untrained Message Passing Layers","created":"2024-06-24","cited_by_count":3,"area":null},{"id":"2411.14711","title":"Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods","created":"2024-11-22","cited_by_count":3,"area":null},{"id":"2411.14832","title":"VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models","created":"2024-11-22","cited_by_count":3,"area":"mllm"},{"id":"2406.10426","title":"MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs","created":"2024-06-14","cited_by_count":2,"area":null},{"id":"2505.08266","title":"Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction","created":"2025-05-13","cited_by_count":2,"area":null},{"id":"2508.04645","title":"A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation","created":"2025-08-06","cited_by_count":2,"area":"moe"},{"id":"2512.11352","title":"CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?","created":"2025-12-12","cited_by_count":2,"area":null},{"id":"2602.11802","title":"Structural Bias Beyond Homophily: A Study of Fairness in Link Prediction","created":"2026-02-12","cited_by_count":2,"area":null},{"id":"2603.09258","title":"Multimodal Graph Representation Learning with Dynamic Information Pathways","created":"2026-03-10","cited_by_count":2,"area":null},{"id":"2402.13001","title":"A unifying primary framework for quantum graph neural networks from quantum graph states","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2402.14802","title":"Link Prediction with Physics-Inspired Graph Neural Networks","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2410.01802","title":"PROXI: Challenging the GNNs for Link Prediction","created":"2024-10-02","cited_by_count":1,"area":null},{"id":"2410.05356","title":"BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2412.00261","title":"Attribute-Enhanced Similarity Ranking for Sparse Link Prediction","created":"2024-11-29","cited_by_count":1,"area":null},{"id":"2502.01177","title":"Deep Graph Learning will stall without Network Science","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2505.04634","title":"MatMMFuse: Multi-Modal Fusion model for Material Property Prediction","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2601.13569","title":"DRGW: Learning Disentangled Representations for Robust Graph Watermarking","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2603.08159","title":"Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2405.12881","title":"Explaining Expert Search and Team Formation Systems with ExES","created":"2024-05-21","cited_by_count":0,"area":null},{"id":"2405.14742","title":"HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning","created":"2024-05-23","cited_by_count":0,"area":null},{"id":"2406.08788","title":"Towards Understanding Link Predictor Generalizability Under Distribution Shifts","created":"2024-06-13","cited_by_count":0,"area":null},{"id":"2409.08487","title":"Sub-graph Based Diffusion Model for Link Prediction","created":"2024-09-13","cited_by_count":0,"area":"diffusion"},{"id":"2410.04251","title":"Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features","created":"2024-10-05","cited_by_count":0,"area":null},{"id":"2410.14679","title":"HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph","created":"2024-09-12","cited_by_count":0,"area":null},{"id":"2411.11284","title":"Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2502.05724","title":"Rethinking Link Prediction for Directed Graphs","created":"2025-02-08","cited_by_count":0,"area":null},{"id":"2504.06193","title":"Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction","created":"2025-04-08","cited_by_count":0,"area":"distill"},{"id":"2505.09331","title":"MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks","created":"2025-05-14","cited_by_count":0,"area":null},{"id":"2506.07168","title":"Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment","created":"2025-06-08","cited_by_count":0,"area":null},{"id":"2507.05540","title":"Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2507.07138","title":"GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2507.11710","title":"Subgraph Generation for Generalizing on Out-of-Distribution Links","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2507.18804","title":"Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2508.14059","title":"Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph","created":"2025-08-10","cited_by_count":0,"area":null},{"id":"2508.14808","title":"Enhancing Contrastive Link Prediction With Edge Balancing Augmentation","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2509.06975","title":"GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2510.00325","title":"QSearchNet: A Quantum Walk Search Framework for Link Prediction","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2511.01196","title":"An Interdisciplinary and Cross-Task Review on Missing Data Imputation","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2512.24062","title":"Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2602.01553","title":"Plain Transformers are Surprisingly Powerful Link Predictors","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2605.02150","title":"H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2606.22033","title":"A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2606.22167","title":"Early-Exit Graph Neural Networks for Link Prediction","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2606.26132","title":"Code evolution for link prediction in complex networks","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.05016","title":"Link prediction on multi-relational graphs from an influence propagation perspective","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2609.34729","title":"Edge-Level Automorphism in GNNs: A Quantitative Framework and Effective Designs For Link Prediction","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}