hibayesian / awesome-graph-learning-papersLinks
A curated list of graph learning papers, articles, tutorials, slides and projects
☆30Updated 4 years ago
Alternatives and similar repositories for awesome-graph-learning-papers
Users that are interested in awesome-graph-learning-papers are comparing it to the libraries listed below
Sorting:
- ☆10Updated 5 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- ☆18Updated 3 years ago
- This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.☆10Updated 5 years ago
- Embedding-based Silhouette Community Detection☆9Updated 4 years ago
- An implementation of a deep learning recommendation model (DLRM)☆10Updated 4 years ago
- ☆10Updated 4 years ago
- Python implementation of the Iterative Classification Algorithm☆35Updated 8 years ago
- Comparing keras, pytorch and gluon using neural collaborative filtering☆18Updated 5 years ago
- In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not y…☆25Updated 8 years ago
- Code for hyperboloid embeddings for knowledge graph entities☆38Updated 2 years ago
- Causal inference for recommendation☆25Updated 6 years ago
- ☆21Updated last year
- CIKM Cup 2016 (1st Place) - Track 1 - Cross Device Entity Linking☆18Updated 7 years ago
- ☆12Updated 3 years ago
- PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆36Updated 3 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- Multi-Graph Graph Attention Network (MG-GAT) from "Y. Leng, R. Ruiz, X. Dong, and A. Pentland, Interpretable Recommender System With Het…☆27Updated 3 years ago
- DeepSearchRelevanceRanking-KDD2022-Tutorial☆15Updated 2 years ago
- The code repository for "To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders"☆9Updated last year
- ☆32Updated 4 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)☆17Updated last year
- Reading list for research topics in intent analysis.☆15Updated last year
- A library for GNN-based recommendation system.☆18Updated 2 years ago
- This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.☆13Updated 2 years ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆25Updated 2 years ago
- The code and data of SIGIR21 paper "Package Recommendation with Intra- and Inter-Package Attention Networks".☆12Updated 3 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 6 years ago