All Stories

  1. ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
  2. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
  3. SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression
  4. KDD 9th Workshop on Machine Learning in Finance
  5. Generation of Loss Functions from Matrix-Based Binary Classification Metrics
  6. Editorial: Launching ACM AI Letters—A New Forum for Rapid, Impactful AI Research
  7. CORE: Data Augmentation for Link Prediction via Information Bottleneck
  8. Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions
  9. Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices
  10. Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models
  11. 8th Workshop on Machine Learning in Finance
  12. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
  13. Class-Imbalanced Learning on Graphs: A Survey
  14. Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives
  15. WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights
  16. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
  17. Knowledge Distillation on Graphs: A Survey
  18. Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning
  19. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
  20. Traversing the Journey of Data and AI: From Convergence to Translation
  21. Graph Cross Supervised Learning via Generalized Knowledge
  22. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
  23. AnyLoss: Transforming Classification Metrics into Loss Functions
  24. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
  25. A Survey of Large Language Models for Graphs
  26. Machine Learning in Finance
  27. Longitudinal Evaluation of Casual Puzzle Tablet Games by Older Adults
  28. HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
  29. Can we Soft Prompt LLMs for Graph Learning Tasks?
  30. Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective
  31. Large Language Models for Graphs: Progresses and Directions
  32. Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
  33. Formative Evaluation of a Tablet Application to Support Goal-Oriented Care in Community-Dwelling Older Adults
  34. Toward Graph Minimally-Supervised Learning
  35. KDD Workshop on Machine Learning in Finance
  36. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers
  37. Predicting terrorist attacks in the United States using localized news data
  38. Towards Real-Time Safety Analysis of Small Unmanned Aerial Systems in the National Airspace
  39. A Survey on Healthy Food Decision Influences Through Technological Innovations
  40. Graph Minimally-supervised Learning
  41. Recipe Representation Learning with Networks
  42. Machine Learning in Finance
  43. Inductive Contextual Relation Learning for Personalization
  44. Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding
  45. Pandemic Pulse
  46. Few-Shot Graph Learning for Molecular Property Prediction
  47. Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings
  48. Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
  49. GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
  50. Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
  51. Multi-modal Network Representation Learning
  52. Fighting a Pandemic
  53. Higher-order patterns of aquatic species spread through the global shipping network
  54. Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit
  55. Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity
  56. Similarity-Aware Network Embedding with Self-Paced Learning
  57. From Design to Development to Evaluation of a Pregnancy App for Low-Income Women in a Community-Based Setting
  58. Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
  59. The Role of "Condition"
  60. TUBE
  61. Heterogeneous Graph Neural Network
  62. Social network structure is predictive of health and wellness
  63. MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting
  64. Learning from data streams and class imbalance
  65. Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course
  66. SHNE
  67. Neural Tensor Factorization for Temporal Interaction Learning
  68. DeepCrime
  69. RESTFul
  70. Multi-Type Itemset Embedding for Learning Behavior Success
  71. Will Triadic Closure Strengthen Ties in Social Networks?
  72. VisPod
  73. Camel
  74. A Review on Quantification Learning
  75. User Modeling on Demographic Attributes in Big Mobile Social Networks
  76. metapath2vec
  77. Structural Diversity and Homophily
  78. Influence of Personal Preferences on Link Dynamics in Social Networks
  79. Representing higher-order dependencies in networks
  80. Prediction of fine-tuned promoter activity from DNA sequence
  81. Recurrent Subgraph Prediction
  82. Collaboration Signatures Reveal Scientific Impact
  83. CoupledLP
  84. Qualitatively exploring electronic portfolios
  85. Will This Paper Increase Your h -index?