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inductive-learningHere are 31 public repositories matching this topic...Language: All
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Inductive relation prediction by subgraph reasoning, ICML'20
graph-neural-networks graph-representation-learning inductive-learning logical-reasoning heterogeneous-graph knowledge-graphs heterogeneous-graph-neural-network
30 Semi-Supervised Learning Algorithms
python machine-learning natural-language-processing computer-vision deep-learning neural-network graph toolkit svm scikit-learn tabular-data pytorch generative-model semi-supervised-learning support-vector-machine automl transductive-learning self-supervised-learning inductive-learning gnn
[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.
survey overview attention nmf link-prediction dynamic-graph-algorithm rnns weighted-graphs gnns inductive-learning dynamic-graphs temporal-link-prediction dynamic-graph-embedding dynamic-link-prediction
[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
knowledge-graph meta-learning graph-neural-networks knowledge-graph-embedding inductive-learning sigir2022
ModSSC: A Modular Framework for Semi Supervised Classification
machine-learning deep-learning torch classification semi-supervised-learning semi-supervised transductive-learning inductive-learning gnn semi-supervised-classification
[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
natural-language-processing graph text-classification document-classification sparse-reconstruction graph-neural-networks inductive-learning aaai2022
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
graph ppi gcn transductive-learning ggnn inductive-learning gat graph-attention graph-neural-network mixhop
📏 Logic rule learning for computer networking
Implementation for ReFactor GNNs
TRE'25: Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
traffic-prediction inductive-learning demand-estimation large-language-models location-embedding cross-city-transfer
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
network-embedding link-prediction weighted-graphs graph-representation-learning inductive-learning dynamic-graphs temporal-graphs temporal-link-prediction dynamic-network-embedding tkde dynamic-graph-representation-learning dynamic-link-prediction
Implementation code of GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference accepted by Medical Image Computing and Computer Assisted Interventions (MICCAI 2021)
deep-learning pytorch semi-supervised-learning gcn distillation graph-neural-networks inductive-biases inductive-learning aggregation-function gkd
This project focuses on predicting maternal-fetal health outcomes, specifically early detection of preeclampsia, by learning transferable representations from cfRNA and placental transcriptomic data.
machine-learning bioinformatics deep-learning graph computational-biology representation-learning transcriptomics graphsage graph-neural-networks inductive-learning gnn maternal-health transcriptomics-data heterogeneous-graphs torch-geometric preeclampsia mini-batch-training
AttrE2vec: Unsupervised Attributed Edge Representation Learning
representation-learning unsupervised-learning graph-representation-learning inductive-learning edge-representation-learning
Improving Out-of-Vocabulary Handling in Recommendation Systems
[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
community-detection complex-networks community-detection-algorithm network-embedding graph-partitioning graph-clustering graph-representation-learning inductive-learning graph-clustering-algorithm community-detection-algorithms community-preserving-embedding tkdd
Inductive representation learning on large graphs via stochastic neighborhood sampling and aggregation (SAmple & aggreGatE).
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
systems-biology knowledge-graph drug-discovery drug-repurposing drug-design molecular-mechanics explainable-ml inductive-learning gnn heterogeneous-graph gene-regulatory-networks predictive-models new-dataset
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