Improving Out-of-Vocabulary Handling in Recommendation Systems
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Updated
Jun 18, 2024 - Python
Improving Out-of-Vocabulary Handling in Recommendation Systems
Implementation for ReFactor GNNs
[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD
Implementation code of GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference accepted by Medical Image Computing and Computer Assisted Interventions (MICCAI 2021)
Graph Attention Networks (GATs) for node classification and regression tasks
Algorithms for induction of phonological grammars and sets of underlying forms from morphophonological paradigms. (In progress.)
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
30 Semi-Supervised Learning Algorithms
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
Inductive relation prediction by subgraph reasoning, ICML'20
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