[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
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Updated
Sep 19, 2024 - Python
[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
SIGIR'22 paper: Axiomatically Regularized Pre-training for Ad hoc Search
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.
[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)
Codebase for SIGIR 2022 paper: Coarse-to-Fine Sparse Sequential Recommendation
SoChainDB framework facilitates obtaining data from blockchain-powered social networks.
[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Official Code for SIGIR 2022 "A Multi-task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems". User Simulator generates user-side utterance, predicts user's next action and satisfaction level.
Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.
User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)
source code of our MGPN in SIGIR 2022
Official repository for "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection", SIGIR 2022.
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
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