人工智能相关论文 2021 accepted papers list

人工智能相关论文 2021 accepted papers list

• AAAI-2021： https://aaai.org/Conferences/AAAI-21/wp-content/uploads/2020/12/AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf
• ICLR 2021 : https://openreview.net/group?id=ICLR.cc/2021/Conference
• EMNLP 2021 ：https://aclanthology.org/events/emnlp-2021/
• CIKM 2021：https://mp.weixin.qq.com/s/Qh_PNn0qktHLkxoIkUGvww
• CVPR 2021：https://openaccess.thecvf.com/CVPR2021?day=all
• ICML 2021：https://zhuanlan.zhihu.com/p/387185373
• ACL 2021: https://aclanthology.org/events/acl-2021/
• KDD 2021： https://kdd.org/kdd2021/accepted-papers/index
• IJCAI 2021: 图神经网络论文

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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