WSDM-23 Industry day: Learning to Infer Product Attribute Values From Descriptive Texts and Images

(25:9)

WSDM-23 Workshops: Cross-Correlated Graph Neural Networks - Theory and Applications

(37:6)

WSDM-23 Workshops: Deep Graph Learning: Data, Methods, and Applications

(35:23)

WSDM-23 Workshops: DeepFake Detection: Technology, Methods, and Challenges

(44:49)

WSDM-23 Keynote: Learning to Understand Audio and Multimodal Content

(29:48)

WSDM-23 Tutorials: Knowledge-Augmented Methods for Natural Language Processing

(2:43:2)

WSDM-23 Tutorials: Next-generation Challenges of Responsible Data Integration

(2:32:34)

Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods fo

(4:1econd)

Tutorial 6 - Transfer Learning \u0026 Domain Adaptation | Deep Learning on Computational Accelerators

(51:52)

CurGraph: Curriculum Learning for Graph Classification

(14:34)

ACM HT 2020 | Unsupervised Fake News Detection

(18:59)

GNN4IP: Graph neural network for hardware intellectual property piracy detection

(18:38)

Hawkes Graphs: the analysis of large multitype event streams

(1:9:32)

WSDM-23 Paper: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting

(14:7)

💡 WWTM23 | December 4-8, 2023

(1:12)

WSDM-23 Paper: Disentangled Negative Sampling for Collaborative Filtering

(11:32)

WSDM-23 Workshops: Error Detection on Knowledge Graphs with Triple Embedding

(12:22)

WSDM-23 Workshops: Efficient Graph Learning for Anomaly Detection Systems

(11:59)

WSDM-23 Tutorials: Trustworthy Algorithmic Ranking Systems

(3:4:53)

WSDM-23 Paper:Graph Explicit Neural Networks

(11:46)

WSDM-23 Paper: S2TUL: A Semi-Supervised Framework for Trajectory-User Linking

(11:15)

WSDM-23 Tutorials: AutoML for Deep Recommender Systems: Fundamentals and Advances

(2:46:51)

WSDM-23 Tutorials: Natural and Artificial Dynamics in GNNs: A Tutorial

(2:58:9)

WSDM-23 Workshops: Trustworthy Natural Language Processing with Knowledge Guidance

(42:53)

WSDM-23 Tutorials: Hate Speech: Detection, Mitigation and Beyond

(2:22:55)

WSDM-23 Tutorials: A Tutorial on Domain Generalization

(2:35:22)

WSDM-23 Workshops: Counterfactual Explanations for Visual Recommender Systems

(12:15)

WSDM-23 Paper: Learning to Distill Graph Neural Networks

(13:35)

WSDM-23 Tutorials: Data Democratisation with Deep Learning

(2:13:2)

WSDM-23 Industry day: Simulating Humans at Scale to Evaluate Voice Interfaces for TVs

(26:1econd)