Inductive relation prediction by subgraph reasoning, ICML'20

30 Semi-Supervised Learning Algorithms

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

[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.

[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Implementation for ReFactor GNNs

[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

Implementation code of GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference accepted by Medical Image Computing and Computer Assisted Interventions (MICCAI 2021)

Algorithms for induction of phonological grammars and sets of underlying forms from morphophonological paradigms. (In progress.)

[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

Improving Out-of-Vocabulary Handling in Recommendation Systems

Graph Attention Networks (GATs) for node classification and regression tasks