Paper reviews on DS503 (2023)

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[NIPS 2021] Learning Graph Models for Retrosynthesis Prediction
[NIPS 2021] Subgraph Federated Learning with Missing Neighbor Generation
[NIPS 2021] Matrix Encoding Networks for Neural Combinatorial Optimization
[NIPS 2021] ABC: Auxiliary Balanced Classifier for Class-Imbalanced Semi-Supervised Learning
[NIPS 2022] SHINE: SubHypergraph Inductive Neural nEtwork
[NIPS 2022] Pure Transformers are Powerful Graph Learner
[ICLR 2021] Generative Scene Graph Networks
[ICLR 2022] How to Train Your MAML to Excel in Few-Shot Classification
[ICLR 2022] Neural Link Prediction with Walk Pooling
[ICLR 2023] Temporal 2D-Variation Modeling for General Time Series Analysis
[ICLR 2023] Temporal 2D-Variation Modeling for General Time Series Analysis2
[ICLR 2023] LEARNING MLPS ON GRAPHS: A UNIFIED VIEW OF EFFECTIVENESS, ROBUSTNESS, AND EFFICIENCY
[ICLR 2023] PLOT: PROMPT LEARNING WITH OPTIMAL TRANSPORT FOR VISION-LANGUAGE MODELS
[ICLR 2023] NEURAL DAG SCHEDULING VIA ONE-SHOT PRIORITY SAMPLING
[ICML 2022] Structure-Aware Transformer for Graph Representation Learning
[ICML 2020] Diffusion Models for Adversarial Purification
[ICML 2022] Learning from Counterfactual Links for Link Prediction
[KDD 2021] MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems
[KDD 2021] A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem
[KDD 2021] Learning Process-consistent Knowledge Tracing
[SIGIR 2021] HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing
[CVPR 2020] Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
[CVPR 2021] CutPaste : Self-Supervised learning for Anomaly Detection and Localization
[CVPR 2022] A Stitch in Time Saves Nine
[ICCV 2021] Feature Importance-aware Transferable Adversarial Attacks
[ICDM 2022] DAGAD: Data Augmentation for Graph Anomaly Detection
[WWW 2021] SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
[AAAI 2021] TabNet: Attentive Interpretable Tabular Learning
[CIKM 2022] Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
[Nat. Mach. Intell. 2023] Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data
[ASME 2022] Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design
[ACL 2021] EASE:Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle
[Entropy 2023] Mining Mobile Network Fraudsters with Augmented Graph
[T-ITS 2021] Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks
[Nature Machine Intelligence 2022] Super-resolution generative adversarial networks of randomly-seeded fields