{"total":76,"rows":[{"id":"2307.01026","title":"Temporal Graph Benchmark for Machine Learning on Temporal Graphs","created":"2023-07-03","cited_by_count":138,"area":null},{"id":"2310.04562","title":"Towards Foundation Models for Knowledge Graph Reasoning","created":"2023-10-06","cited_by_count":86,"area":null},{"id":"2402.02216","title":"Position: Graph Foundation Models are Already Here","created":"2024-02-03","cited_by_count":86,"area":null},{"id":"2306.10453","title":"Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking","created":"2023-06-18","cited_by_count":69,"area":null},{"id":"2302.00890","title":"Neural Common Neighbor with Completion for Link Prediction","created":"2023-02-02","cited_by_count":64,"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":"2407.09434","title":"Foundation Models for the Electric Power Grid","created":"2024-07-12","cited_by_count":28,"area":null},{"id":"2502.19512","title":"TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs","created":"2025-02-26","cited_by_count":24,"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":"2312.02339","title":"Expressive Sign Equivariant Networks for Spectral Geometric Learning","created":"2023-12-04","cited_by_count":15,"area":null},{"id":"2411.01410","title":"PageRank Bandits for Link Prediction","created":"2024-11-03","cited_by_count":14,"area":null},{"id":"2402.07738","title":"Universal Link Predictor By In-Context Learning on Graphs","created":"2024-02-12","cited_by_count":13,"area":null},{"id":"2211.14394","title":"Link Prediction with Non-Contrastive Learning","created":"2022-11-25","cited_by_count":11,"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":"2303.03761","title":"Graph Neural Networks in Vision-Language Image Understanding: A Survey","created":"2023-03-07","cited_by_count":10,"area":null},{"id":"2405.16435","title":"Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning","created":"2024-05-26","cited_by_count":10,"area":null},{"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":"2403.17259","title":"Diffusion-based Negative Sampling on Graphs for Link Prediction","created":"2024-03-25","cited_by_count":9,"area":null},{"id":"2406.14683","title":"TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models","created":"2024-06-20","cited_by_count":9,"area":null},{"id":"2505.11892","title":"Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2510.01510","title":"Flock: A Knowledge Graph Foundation Model via Learning on Random Walks","created":"2025-10-01","cited_by_count":9,"area":null},{"id":"2303.03379","title":"SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning","created":"2023-03-06","cited_by_count":8,"area":null},{"id":"2309.17417","title":"Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction","created":"2023-09-29","cited_by_count":8,"area":null},{"id":"2301.12562","title":"Simplifying Subgraph Representation Learning for Scalable Link Prediction","created":"2023-01-29","cited_by_count":7,"area":null},{"id":"2505.16284","title":"Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse","created":"2025-05-22","cited_by_count":7,"area":null},{"id":"2306.11147","title":"CAT-Walk: Inductive Hypergraph Learning via Set Walks","created":"2023-06-19","cited_by_count":6,"area":null},{"id":"2310.09516","title":"Efficient Link Prediction via GNN Layers Induced by Negative Sampling","created":"2023-10-14","cited_by_count":6,"area":null},{"id":"2406.13873","title":"A Pure Transformer Pretraining Framework on Text-attributed Graphs","created":"2024-06-19","cited_by_count":6,"area":null},{"id":"2403.11199","title":"Graph Unitary Message Passing","created":"2024-03-17","cited_by_count":5,"area":null},{"id":"2405.11911","title":"Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning","created":"2024-05-20","cited_by_count":5,"area":null},{"id":"2408.12875","title":"Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks","created":"2024-08-23","cited_by_count":5,"area":null},{"id":"2402.09711","title":"Node Duplication Improves Cold-start Link Prediction","created":"2024-02-15","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":"2506.24018","title":"Bridging Theory and Practice in Link Representation with Graph Neural Networks","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2511.16883","title":"PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling","created":"2025-11-21","cited_by_count":4,"area":null},{"id":"2304.08556","title":"Stochastic Subgraph Neighborhood Pooling for Subgraph Classification","created":"2023-04-17","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":"2404.15225","title":"PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2501.16002","title":"ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning","created":"2025-01-27","cited_by_count":2,"area":null},{"id":"2502.02479","title":"Using Random Noise Equivariantly to Boost Graph Neural Networks Universally","created":"2025-02-04","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":"2507.00927","title":"Understanding Generalization in Node and Link Prediction","created":"2025-07-01","cited_by_count":2,"area":null},{"id":"2510.04567","title":"GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning","created":"2025-10-06","cited_by_count":2,"area":null},{"id":"2511.06568","title":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","created":"2025-11-09","cited_by_count":2,"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":"2410.10089","title":"PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs","created":"2024-10-14","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":"2505.19719","title":"OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction","created":"2025-05-26","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":"2303.00170","title":"Asymmetric Learning for Graph Neural Network based Link Prediction","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2309.11528","title":"Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2310.00183","title":"On the Equivalence of Graph Convolution and Mixup","created":"2023-09-29","cited_by_count":0,"area":null},{"id":"2312.09802","title":"Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks","created":"2023-12-15","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":"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":"2502.15008","title":"Understanding the Design Principles of Link Prediction in Directed Settings","created":"2025-02-20","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":"2507.07138","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":"2508.14808","title":"Enhancing Contrastive Link Prediction With Edge Balancing Augmentation","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2512.21166","title":"A Community-Enhanced Graph Representation Model for Link Prediction","created":"2025-12-24","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":"2605.16902","title":"ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.20257","title":"Instance Discrimination for Link Prediction","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2607.01553","title":"X-LogSMask: Expand Transformer for Graph-Structured Data","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.16198","title":"A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges","created":"2026-04-29","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":"2608.08567","title":"Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks","created":"2026-08-09","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},{"id":"2609.36302","title":"The Universal Classifier for Graph Learning","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}