Awesome papers (codes) about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs) and their applications (i.e. Recommender Systems).

将深度学习技术(图神经网络等)应用在动态图、动态网络、动态知识图谱上的论文、代码、工具等。

• Graph Neural Networks Designed for Different Graph Types: A Survey (ARXIV, 2022) [paper]
• Representation Learning for Dynamic Graphs: A Survey (JMLR, 2020) [paper]
• A Survey on Embedding Dynamic Graphs (ARXIV, 2021) [paper]
• Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey (ARXIV, 2019) [paper]
• Nonlinearity + Networks: A 2020 Vision (ARXIV, 2019) [paper]
• Temporal networks (Physics Report, 2012) [paper]

• Instant Graph Neural Networks for Dynamic Graphs (KDD, 2022) [paper][code]
• Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction (KDD, 2022) [paper][code]
• ROLAND: Graph Learning Framework for Dynamic Graphs (KDD, 2022) [paper][code]
• Subset Node Anomaly Tracking over Large Dynamic Graphs (KDD, 2022) [paper][code]
• Streaming Graph Neural Networks via Generative Replay (KDD, 2022) [paper][code]
• DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction (SIGIR, 2022) [paper]
• STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation (WWW, 2022) [paper][code]
• Neural Predicting Higher-order Patterns in Temporal Networks (WWW, 2022) [paper][code]
• TREND: TempoRal Event and Node Dynamics for Graph Representation Learning (WWW, 2022) [paper][code]
• A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks (WWW, 2022) [paper]
• EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs (WSDM, 2022) [paper][code]
• Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs (WSDM, 2022) [paper][code]
• Few-shot Link Prediction in Dynamic Networks (WSDM, 2022) [paper]
• On Generalizing Static Node Embedding to Dynamic Settings (WSDM, 2022) [paper]

• Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks (ICLR, 2021) [paper][code]
• Coupled Graph ODE for Learning Interacting System Dynamics (KDD, 2021) [paper][code]
• Subset Node Representation Learning over Large Dynamic Graphs (KDD, 2021) [paper][code]
• Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space [paper][code]
• Learning to Walk across Time for Temporal Knowledge Graph Completion (KDD, 2021) [paper]
• Forecasting Interaction Order on Temporal Graphs (KDD, 2021)
• Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning (SIGIR, 2021) [paper][code]
• Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences (SIGIR, 2021)
• TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion [paper]
• SDG: A Simplified and Dynamic Graph Neural Network (SIGIR SHORT, 2021) [paper][code]
• Temporal Augmented Graph Neural Networks for Session-Based Recommendations (SIGIR SHORT, 2021) [paper]
• HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding (WWW, 2021) [paper][code]
• TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks (WWW, 2021) [paper]
• Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs (AAAI, 2021) [paper]
• Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks (AAAI, 2021) [paper][code]
• Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay (AAAI, 2021) [paper]
• Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network (WSDM, 2021) [paper]
• F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams (WSDM, 2021) [paper][code]
• Cache-based GNN System for Dynamic Graphs (CIKM 2021) [[paper]]
• Self-supervised Representation Learning on Dynamic Graphs (CIKM 2021)[[paper]]
• Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer [paper][code]
• Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs (CIKM 2021) [paper]
• Neural Higher-order Pattern (Motif) Prediction in Temporal Networks (ARXIV, 2021) [paper]

• Inductive Representation Learning on Temporal Graphs (ICLR, 2020) [paper][code]
• Temporal Graph Networks for Deep Learning on Dynamic Graphs (ICML Workshop, 2020) [paper][code]
• A Data-Driven Graph Generative Model for Temporal Interaction Networks (KDD, 2020) [paper][code]
• Dynamic Knowledge Graph based Multi-Event Forecasting (KDD, 2020) [paper][code]
• Laplacian Change Point Detection for Dynamic Graphs (KDD, 2020) [paper][code]
• Algorithmic Aspects of Temporal Betweenness (KDD, 2020) [paper][code]
• Heterogeneous Graph Transformer (WWW, 2020) [paper][code]
• Streaming Graph Neural Network (SIGIR, 2020) [paper][code]
• Next-item Recommendation with Sequential Hypergraphs (SIGIR, 2020) [paper][code]
• Temporal Network Embedding with High-Order Nonlinear Information (AAAI, 2020) [paper]
• Motif-Preserving Temporal Network Embedding (IJCAI, 2020) [paper]
• Dynamic Graph Collaborative Filtering (ICDM, 2020) [paper][code]
• DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks (WSDM, 2020) [papr][code]
• Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network (WSDM, 2020) [paper][code]
• Continuous-Time Dynamic Graph Learning via Neural Interaction Processes (CIKM, 2020) [paper]
• tdGraphEmbed: Temporal Dynamic Graph-Level Embedding (CIKM, 2020) [paper][code]
• Streaming Graph Neural Network via Continue Learning (CIKM, 2020) [paper][code]
• Disentangle-based Continual Graph Representation Learning (EMNLP, 2020) [paper][code]
• TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion (EMNLP, 2020) [paper][code]
• Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs (EMNLP, 2020) [paper][code]
• EPNE: Evolutionary Pattern Preserving Network Embedding (ECAI, 2020) [paper]
• GloDyNE: Global Topology Preserving Dynamic Network Embedding (TKDE, 2020) [paper][code]
• Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity (TKDE, 2020) [paper][code]
• Lifelong Graph Learning (ARXIV, 2020) [paper]

• Variational Graph Recurrent Neural Networks (NeurIPS, 2019) [paper][code]
• Recurrent Space-time Graph Neural Networks (NeurIPS, 2019) [paper][code]
• DyRep: Learning Representations over Dynamic Graphs (ICLR, 2019) [paper]
• Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks (KDD, 2019) [paper][code]
• Learning Dynamic Context Graphs for Predicting Social Events (KDD, 2019) [paper][code]
• EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs (AAAI, 2019) [paper][code]
• Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems (WWW, 2019) [paper]
• Real-Time Streaming Graph Embedding Through Local Actions (WWW, 2019) [paper]
• Dynamic Hypergraph Neural Networks (IJCAI, 2019) [paper][code]
• Node Embedding over Temporal Graphs (IJCAI, 2019) [paper][code]
• Temporal Network Embedding with Micro- and Macro-dynamics (CIKM, 2019) [paper][code]

• NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks (KDD, 2018) [paper][code]
• Embedding Temporal Network via Neighborhood Formation (KDD, 2018) [paper][code]
• Dynamic Network Embedding by Modeling Triadic Closure Process (AAAI, 2018) [paper][code]
• Continuous-Time Dynamic Network Embeddings (WWW, 2018) [paper][code]
• Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding [paper]

• Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs (ICML, 2017) [paper][code]
• The Co-Evolution Model for Social Network Evolving and Opinion Migration (KDD, 2017) [papercode]
• Attributed Network Embedding for Learning in a Dynamic Environment (CIKM, 2017) [paper][code]

• Deep Graph Library
• Pytorch Geometric
• Pytorch Geometric Temporal
• Stellar Graph
• GraphVite

• DGL-KE
• OpenKE

• RecBole