人工智能相关论文 2021 accepted papers list

人工智能相关论文 2021 accepted papers list

  1. The Surprising Power of Graph Neural Networks with Random Node Initialization
  2. On Self-Distilling Graph Neural Network
  3. Multi-hop Attention Graph Neural Networks
  4. Graph-Free Knowledge Distillation for Graph Neural Networks
  5. Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks
  6. Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
  7. Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
  8. GraphMI: Extracting Private Graph Data from Graph Neural Networks
  9. CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
  10. Node-wise Localization of Graph Neural Networks
  11. Multi-Channel Pooling Graph Neural Networks
  12. GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
  13. TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
  14. Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
  15. Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks
  16. Convexified Graph Neural Networks for Distributed Control in Robotic Swarms
  17. Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
  18. MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
  19. GAEN: Graph Attention Evolving Networks
  20. User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
  21. Heterogeneous Graph Information Bottleneck
  22. AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
  23. Learning Attributed Graph Representation with Communicative Message Passing Transformer
  24. Understanding Structural Vulnerability in Graph Convolutional Networks
  25. CuCo: Graph Representation with Curriculum Contrastive Learning
  26. DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
  27. UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
  28. Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph
  29. Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
  30. Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
  31. Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension
  32. Combinatorial Optimization and Reasoning with Graph Neural Networks
  33. The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
  34. Automated Machine Learning on Graphs: A Survey

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转载自blog.csdn.net/ganxiwu9686/article/details/124093016