26hzhang / DBLPParserLinks
A python parser for DBLP dataset
☆47Updated 6 years ago
Alternatives and similar repositories for DBLPParser
Users that are interested in DBLPParser are comparing it to the libraries listed below
Sorting:
- Parse the dblp data into a structured format for experimentation.☆75Updated 8 years ago
- Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.☆204Updated 4 years ago
- ☆16Updated 6 years ago
- Source code and dataset for KDD 2019 paper "OAG: Toward Linking Large-scale Heterogeneous Entity Graphs"☆60Updated 5 years ago
- Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"☆110Updated 7 years ago
- Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)☆26Updated 3 years ago
- "A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning". VLDB Journal, 2022. Code for stat…☆39Updated last year
- TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)☆76Updated 4 years ago
- ☆49Updated 2 years ago
- ☆90Updated 6 years ago
- Convert a DBLP XML file to CSV format.☆51Updated 3 years ago
- Implementation of TransE model in PyTorch.☆158Updated 2 years ago
- A comprehensive benchmark for Twitter bot detection. CIKM 2021.☆56Updated 2 years ago
- Diachronic Embedding for Temporal Knowledge Graph Completion☆86Updated last year
- Relational Reflection Entity Alignment☆25Updated 4 years ago
- Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts"…☆84Updated 5 years ago
- Datasets for Knowledge Graph Completion with textual information about the entities☆278Updated 5 years ago
- Name Disambiguation using Network Embedding☆17Updated 7 years ago
- There‘re experimental data sets over knowledge graph which are all well-known and popular and even comprehensive. We now sort out 9 data …☆82Updated 7 years ago
- Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.☆136Updated 5 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- Rule mining in knowledge graphs☆126Updated last week
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆162Updated 4 years ago
- Semi-supervised User Geolocation via Graph Convolutional Networks☆67Updated 4 years ago
- Tri-Party Deep Network Representation, IJCAI-16☆76Updated 3 years ago
- Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via…☆327Updated 6 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆96Updated 4 years ago
- Code and data for paper "Embedding Uncertain Knowledge Graphs"☆52Updated 4 years ago
- Heterogeneous Information Network Embedding☆199Updated 3 years ago
- GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of ma…☆114Updated last year