wzskytop / TopPPRLinks
Codes for TopPPR
☆14Updated 6 years ago
Alternatives and similar repositories for TopPPR
Users that are interested in TopPPR are comparing it to the libraries listed below
Sorting:
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆31Updated 4 years ago
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Updated 11 months ago
- ☆14Updated 3 years ago
- A Broader Picture of Random-walk Based Graph Embedding☆30Updated 3 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆83Updated last month
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo☆157Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- ☆15Updated 5 years ago
- Code for monograph "Cohesive Subgraph Computation over Large Sparse Graphs"☆26Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆490Updated 2 years ago
- Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"☆17Updated last year
- ☆210Updated last year
- ☆354Updated last year
- 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
- ☆143Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- A general-purpose, distributed graph random walk engine.☆109Updated last year
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 3 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆154Updated last year
- Scaling Up Subgraph Query Processing with Efficient Subgraph Matching by Shixuan Sun and Dr. Qiong Luo☆17Updated 6 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆327Updated last year
- Datasets-for-Heterogeneous-Graph☆132Updated 5 years ago
- Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.☆162Updated 4 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs☆130Updated last week
- ☆138Updated last year
- A Parallel Graphlet Decomposition Library for Large Graphs☆87Updated 6 years ago
- ☆352Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 7 months ago