Topic: "relational-learning"
Accenture/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Language: Python - Size: 42.3 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 2,212 - Forks: 251

typedb/typedb-ml 📦
TypeDB-ML is the Machine Learning integrations library for TypeDB
Language: Python - Size: 11 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 549 - Forks: 93

LukasZahradnik/PyNeuraLogic
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Language: Python - Size: 31.9 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 291 - Forks: 21

qitianwu/NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Language: Jupyter Notebook - Size: 353 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 255 - Forks: 25

Mehran-k/SimplE
SimplE Embedding for Link Prediction in Knowledge Graphs
Language: Python - Size: 8.42 MB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 144 - Forks: 33

getml/getml-community
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 112 - Forks: 13

GustikS/NeuraLogic
Deep relational learning through differentiable logic programming.
Language: Java - Size: 3.65 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 102 - Forks: 15

AstraZeneca/awesome-drug-pair-scoring
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Size: 1.47 MB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 94 - Forks: 14

Wang-ML-Lab/GRDA
[ICLR 2022] Graph-Relational Domain Adaptation
Language: Python - Size: 7.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 41 - Forks: 6

srlearn/srlearn
☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
Language: Python - Size: 10.7 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 31 - Forks: 15

Mehran-k/RelNN
RelNN is a novel first-order deep neural model for relational learning.
Language: Java - Size: 6.69 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 3

joschout/RelationalDatasets
A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.
Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 3

getml/getml-demo
Showcase notebooks for getML
Language: Jupyter Notebook - Size: 95.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 15 - Forks: 8

abhrac/relational-proxies
Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.
Language: Python - Size: 544 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 14 - Forks: 1

DillonZChen/goose
Graph Learning for Planning [AAAI-24, ICAPS-24, NeurIPS-24]
Language: C++ - Size: 303 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 2

DillonZChen/wlplan
Relational Features for PDDL Planning
Language: C++ - Size: 33.7 MB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 11 - Forks: 1

xiongbo010/NestE
PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)
Language: Python - Size: 1.85 GB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 2

sfu-cl-lab/FactorBase
The source code repository for the FactorBase system
Language: Java - Size: 208 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 6

dodo47/SpikE
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 0

dodo47/cyberML
Machine learning on knowledge graphs for context-aware security monitoring (data and model)
Language: Jupyter Notebook - Size: 5.88 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

GustikS/GNNwLRNNs
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Language: Shell - Size: 2.34 MB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

jakubpeleska/ctu-relational-py
Machine learning-friendly interface for accessing relational databases from the CTU Relational repository
Language: Python - Size: 385 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

yisiyu95/R2FGC
[Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering
Language: Python - Size: 23.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

srlearn/relational-datasets
Python package for fetching and using srlearn-compatible relational datasets.
Language: Python - Size: 2.28 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

hayesall/rfgb
🐍🚧 Experimental tool for SRL learning in Python. For something more stable, see: https://github.com/srlearn/srlearn
Language: Python - Size: 331 KB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 3

lanl/pyDRESCALk
Distributed Non Negative RESCAL decomposition with estimation of latent features
Language: Python - Size: 6.51 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 4

srlearn/datasets Fork of boost-starai/BoostSRL-Misc
srlearn-compatible relational datasets
Language: Shell - Size: 29.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

srlearn/RelationalDatasets.jl
Julia package for fetching and using srlearn-compatible relational datasets.
Language: Julia - Size: 233 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

GustikS/NeuraLifting
Lossless Compression of Structured Convolutional Models via Lifting
Language: Shell - Size: 1.54 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

luisrui/Multimodal-Relation-Extrapolation
The source code for "Zero-Shot Relational Learning for Multimodal Knowlege Graphs", In the Proceedings of the 2024 IEEE International Conference on Big Data
Language: Python - Size: 42.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

MeLLL-UFF/TransBoostler
Word embeddings for Transfer Learning using Relational Dependency Networks
Language: Prolog - Size: 137 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

srlearn/linter
A grammar and linter for ILP datasets.
Language: Go - Size: 668 KB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

vishwakftw/Graded-Relations-From-Data 📦
Project repository for MA6040: Fuzzy Logic Connectives: Theory and Applications offered in Spring 2019
Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

martinsvat/STRiKE
Implementation of a learning and fragment-based rule inference engine -- M. Svatoš, S. Schockaert, J. Davis, and O. Kuželka: STRiKE: Rule-driven relational learning using stratified k-entailment, ECAI'20
Language: Java - Size: 310 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ademkikaj/AutoRFE
A code base for Automated Relational Feature Engineering
Language: Python - Size: 2.35 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sukrutrao/Graded-Relations-From-Data Fork of vishwakftw/Graded-Relations-From-Data
Implementation of the framework in the paper: Waegeman, W., Pahikkala, T., Airola, A., Salakoski, T., Stock, M., & De Baets, B. (2012). A kernel-based framework for learning graded relations from data. IEEE Transactions on Fuzzy Systems, 20(6), 1090-1101.
Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

sfu-cl-lab/relational-contingency-table
Computes contingency tables for relational databases, i.e. counts across tables
Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
