{"total":132,"rows":[{"id":"2101.05974","title":"Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks","created":"2021-01-15","cited_by_count":193,"area":null},{"id":"2208.07239","title":"ROLAND: Graph Learning Framework for Dynamic Graphs","created":"2022-08-15","cited_by_count":132,"area":null},{"id":"2104.03528","title":"Neural Temporal Point Processes: A Review","created":"2021-04-08","cited_by_count":114,"area":null},{"id":"2310.10196","title":"Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook","created":"2023-10-16","cited_by_count":110,"area":null},{"id":"2104.10353","title":"Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning","created":"2021-04-21","cited_by_count":106,"area":null},{"id":"2212.05767","title":"A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal","created":"2022-12-12","cited_by_count":106,"area":null},{"id":"2109.08935","title":"Complex Temporal Question Answering on Knowledge Graphs","created":"2021-09-18","cited_by_count":69,"area":null},{"id":"2109.04101","title":"TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting","created":"2021-09-09","cited_by_count":67,"area":null},{"id":"2101.05151","title":"Temporal Knowledge Graph Forecasting with Neural ODE","created":"2021-01-13","cited_by_count":61,"area":null},{"id":"2201.08236","title":"Temporal Knowledge Graph Completion: A Survey","created":"2022-01-16","cited_by_count":61,"area":null},{"id":"2302.01018","title":"Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities","created":"2023-02-02","cited_by_count":61,"area":null},{"id":"2101.01229","title":"A Survey on Embedding Dynamic Graphs","created":"2021-01-04","cited_by_count":60,"area":null},{"id":"2105.05330","title":"Neuro-Symbolic Artificial Intelligence: Current Trends","created":"2021-05-11","cited_by_count":54,"area":null},{"id":"2209.01084","title":"Neighborhood-aware Scalable Temporal Network Representation Learning","created":"2022-09-02","cited_by_count":54,"area":null},{"id":"2103.15447","title":"Dynamic Network Embedding Survey","created":"2021-03-29","cited_by_count":44,"area":null},{"id":"2211.10904","title":"Temporal Knowledge Graph Reasoning with Historical Contrastive Learning","created":"2022-11-20","cited_by_count":42,"area":null},{"id":"2106.00327","title":"Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs","created":"2021-06-01","cited_by_count":39,"area":null},{"id":"2204.09280","title":"Reinforced Structured State-Evolution for Vision-Language Navigation","created":"2022-04-20","cited_by_count":37,"area":null},{"id":"2110.08455","title":"Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey","created":"2021-10-16","cited_by_count":33,"area":null},{"id":"2403.04782","title":"A Survey on Temporal Knowledge Graph: Representation Learning and Applications","created":"2024-03-02","cited_by_count":30,"area":null},{"id":"2405.00476","title":"A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges","created":"2024-05-01","cited_by_count":30,"area":null},{"id":"2202.07648","title":"EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs","created":"2022-02-15","cited_by_count":27,"area":null},{"id":"2208.00850","title":"Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs","created":"2022-07-28","cited_by_count":27,"area":null},{"id":"2111.03465","title":"Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction","created":"2021-11-01","cited_by_count":24,"area":null},{"id":"2404.18211","title":"A survey of dynamic graph neural networks","created":"2024-04-28","cited_by_count":24,"area":null},{"id":"2204.03080","title":"Graph Neural Networks Designed for Different Graph Types: A Survey","created":"2022-04-06","cited_by_count":21,"area":null},{"id":"2210.08654","title":"Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs","created":"2022-10-16","cited_by_count":21,"area":null},{"id":"2112.15280","title":"What is Event Knowledge Graph: A Survey","created":"2021-12-31","cited_by_count":19,"area":null},{"id":"2405.04180","title":"Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models","created":"2024-05-07","cited_by_count":17,"area":null},{"id":"2308.06878","title":"AutoSeqRec: Autoencoder for Efficient Sequential Recommendation","created":"2023-08-14","cited_by_count":15,"area":null},{"id":"2203.10480","title":"Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey","created":"2022-03-20","cited_by_count":14,"area":null},{"id":"2308.02457","title":"A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects","created":"2023-08-04","cited_by_count":14,"area":null},{"id":"2106.04311","title":"Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures","created":"2021-06-08","cited_by_count":12,"area":null},{"id":"2210.03990","title":"Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs","created":"2022-10-08","cited_by_count":12,"area":null},{"id":"2210.08189","title":"Parameter-free Dynamic Graph Embedding for Link Prediction","created":"2022-10-15","cited_by_count":12,"area":null},{"id":"2304.11528","title":"Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation","created":"2023-04-23","cited_by_count":12,"area":null},{"id":"2307.07649","title":"DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training","created":"2023-07-14","cited_by_count":12,"area":null},{"id":"2109.07893","title":"Efficient Scaling of Dynamic Graph Neural Networks","created":"2021-09-16","cited_by_count":11,"area":null},{"id":"2112.10558","title":"Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes","created":"2021-12-20","cited_by_count":11,"area":null},{"id":"2310.04835","title":"On the Evolution of Knowledge Graphs: A Survey and Perspective","created":"2023-10-07","cited_by_count":10,"area":null},{"id":"2312.13680","title":"HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces","created":"2023-12-21","cited_by_count":10,"area":null},{"id":"2401.06072","title":"Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion","created":"2024-01-11","cited_by_count":10,"area":null},{"id":"2407.20871","title":"Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction","created":"2024-07-30","cited_by_count":10,"area":null},{"id":"2108.00954","title":"Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning","created":"2021-07-26","cited_by_count":9,"area":null},{"id":"2203.07993","title":"RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion","created":"2022-03-15","cited_by_count":9,"area":null},{"id":"2207.10839","title":"Robust Knowledge Adaptation for Dynamic Graph Neural Networks","created":"2022-07-22","cited_by_count":9,"area":null},{"id":"2208.06501","title":"ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs","created":"2022-08-12","cited_by_count":9,"area":null},{"id":"2304.12604","title":"Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning","created":"2023-04-25","cited_by_count":9,"area":null},{"id":"2309.03251","title":"Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning","created":"2023-09-06","cited_by_count":9,"area":null},{"id":"2112.07768","title":"Efficient Dynamic Graph Representation Learning at Scale","created":"2021-12-14","cited_by_count":8,"area":null},{"id":"2112.07791","title":"A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion","created":"2021-12-14","cited_by_count":8,"area":null},{"id":"2204.06517","title":"Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation","created":"2022-03-30","cited_by_count":8,"area":null},{"id":"2304.07503","title":"Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation","created":"2023-04-15","cited_by_count":8,"area":null},{"id":"2305.14074","title":"Message Intercommunication for Inductive Relation Reasoning","created":"2023-05-23","cited_by_count":8,"area":null},{"id":"2104.08419","title":"TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion","created":"2021-04-17","cited_by_count":7,"area":null},{"id":"2112.15319","title":"A Critical Review of Inductive Logic Programming Techniques for Explainable AI","created":"2021-12-31","cited_by_count":7,"area":null},{"id":"2111.06854","title":"Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes","created":"2021-11-12","cited_by_count":6,"area":null},{"id":"2303.06067","title":"Modeling Events and Interactions through Temporal Processes -- A Survey","created":"2023-03-10","cited_by_count":6,"area":null},{"id":"2305.11301","title":"NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs","created":"2023-05-15","cited_by_count":6,"area":null},{"id":"2210.00032","title":"Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs","created":"2022-09-30","cited_by_count":5,"area":null},{"id":"2302.11091","title":"GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method","created":"2023-02-22","cited_by_count":5,"area":null},{"id":"2305.18675","title":"History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion","created":"2023-05-30","cited_by_count":5,"area":null},{"id":"2311.17410","title":"GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs","created":"2023-11-29","cited_by_count":5,"area":null},{"id":"2412.07273","title":"Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks","created":"2024-12-10","cited_by_count":5,"area":null},{"id":"2506.00431","title":"TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer","created":"2025-05-31","cited_by_count":5,"area":null},{"id":"2111.07602","title":"Spectral Transform Forms Scalable Transformer","created":"2021-11-15","cited_by_count":4,"area":null},{"id":"2206.05051","title":"Temporal Inductive Logic Reasoning over Hypergraphs","created":"2022-06-09","cited_by_count":4,"area":null},{"id":"2208.12126","title":"A Survey on Temporal Graph Representation Learning and Generative Modeling","created":"2022-08-25","cited_by_count":4,"area":null},{"id":"2209.13702","title":"Reasoning over Multi-view Knowledge Graphs","created":"2022-09-27","cited_by_count":4,"area":null},{"id":"2304.03984","title":"DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning","created":"2023-04-08","cited_by_count":4,"area":null},{"id":"2402.12074","title":"HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph","created":"2024-02-19","cited_by_count":4,"area":null},{"id":"2102.07289","title":"Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series","created":"2021-02-15","cited_by_count":3,"area":null},{"id":"2109.04550","title":"SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings","created":"2021-09-09","cited_by_count":3,"area":null},{"id":"2211.16865","title":"Logic and Commonsense-Guided Temporal Knowledge Graph Completion","created":"2022-11-30","cited_by_count":3,"area":null},{"id":"2410.22631","title":"DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach","created":"2024-10-30","cited_by_count":3,"area":null},{"id":"2412.15582","title":"A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation","created":"2024-12-20","cited_by_count":3,"area":null},{"id":"2506.06367","title":"Towards Foundation Model on Temporal Knowledge Graph Reasoning","created":"2025-06-04","cited_by_count":3,"area":null},{"id":"2209.05635","title":"Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces","created":"2022-09-12","cited_by_count":2,"area":null},{"id":"2211.00989","title":"How Stable is Knowledge Base Knowledge?","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2302.00893","title":"MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning","created":"2023-02-02","cited_by_count":2,"area":null},{"id":"2312.01052","title":"SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting","created":"2023-12-02","cited_by_count":2,"area":null},{"id":"2312.03004","title":"Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning","created":"2023-12-04","cited_by_count":2,"area":null},{"id":"2402.01964","title":"Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling","created":"2024-02-03","cited_by_count":2,"area":null},{"id":"2402.05944","title":"Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization","created":"2024-02-02","cited_by_count":2,"area":null},{"id":"2408.15371","title":"Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks","created":"2024-08-27","cited_by_count":2,"area":null},{"id":"2412.16674","title":"STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2501.01974","title":"Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs","created":"2024-12-28","cited_by_count":2,"area":null},{"id":"2101.06938","title":"Incremental Knowledge Based Question Answering","created":"2021-01-18","cited_by_count":1,"area":null},{"id":"2106.01678","title":"Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism","created":"2021-06-03","cited_by_count":1,"area":null},{"id":"2106.11430","title":"ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks","created":"2021-06-21","cited_by_count":1,"area":null},{"id":"2111.01878","title":"Discovering Supply Chain Links with Augmented Intelligence","created":"2021-11-02","cited_by_count":1,"area":null},{"id":"2206.03469","title":"Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network","created":"2022-06-07","cited_by_count":1,"area":null},{"id":"2301.08399","title":"Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network","created":"2023-01-20","cited_by_count":1,"area":null},{"id":"2304.09015","title":"PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs","created":"2023-04-18","cited_by_count":1,"area":null},{"id":"2310.04865","title":"ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding","created":"2023-10-07","cited_by_count":1,"area":null},{"id":"2408.15620","title":"CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship","created":"2024-08-28","cited_by_count":1,"area":null},{"id":"2412.21046","title":"Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures","created":"2024-12-30","cited_by_count":1,"area":null},{"id":"2603.12500","title":"TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2607.02166","title":"Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space","created":"2026-07-02","cited_by_count":1,"area":null},{"id":"2607.02872","title":"Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs","created":"2026-07-03","cited_by_count":1,"area":null}],"next_cursor":"100"}