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Latest papers with code

Accelerating COVID-19 research with graph mining and transformer-based learning

10 Feb 2021IlyaTyagin/AGATHA-C-GP

In 2020, the White House released the, "Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset," wherein artificial intelligence experts are asked to collect data and develop text mining techniques that can help the science community answer high-priority scientific questions related to COVID-19.

GRAPH MINING

0
10 Feb 2021

Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings

8 Jan 2021benedekrozemberczki/datasets

Proximity preserving and structural role-based node embeddings have become a prime workhorse of applied graph mining.

GRAPH MINING NODE CLASSIFICATION

300
08 Jan 2021

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off

26 Nov 2020minjiyoon/ICDM20-AutoGM

We first define a unified framework UNIFIEDGM that integrates various message-passing based graph algorithms, ranging from conventional algorithms like PageRank to graph neural networks.

GRAPH MINING

0
26 Nov 2020

Interactive Text Graph Mining with a Prolog-based Dialog Engine

31 Jul 2020yuce/pyswip

Working on the Prolog facts and their inferred consequences, the dialog engine specializes the text graph with respect to a query and reveals interactively the document's most relevant content elements.

GRAPH MINING

273
31 Jul 2020

Unsupervised Differentiable Multi-aspect Network Embedding

7 Jun 2020pcy1302/asp2vec

To capture the multiple aspects of each node, existing studies mainly rely on offline graph clustering performed prior to the actual embedding, which results in the cluster membership of each node (i. e., node aspect distribution) fixed throughout training of the embedding model.

GRAPH CLUSTERING GRAPH MINING NETWORK EMBEDDING

12
07 Jun 2020

Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs

4 Jun 2020jisungyoon/persona2vec

Graph embedding techniques, which learn low-dimensional representations of a graph, are achieving state-of-the-art performance in many graph mining tasks.

GRAPH EMBEDDING GRAPH MINING LINK PREDICTION

12
04 Jun 2020

Peregrine: A Pattern-Aware Graph Mining System

6 Apr 2020pdclab/peregrine

General purpose graph mining systems provide a generic runtime to explore subgraph structures of interest with the help of user-defined functions that guide the overall exploration process.

GRAPH MINING DISTRIBUTED, PARALLEL, AND CLUSTER COMPUTING DATABASES D.4; H.3.4; H.2.8

160
06 Apr 2020

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs

CIKM 2020 benedekrozemberczki/karateclub

We present Karate Club a Python framework combining more than 30 state-of-the-art graph mining algorithms which can solve unsupervised machine learning tasks.

COMMUNITY DETECTION GRAPH CLASSIFICATION GRAPH EMBEDDING GRAPH MINING NODE CLASSIFICATION

1,175
10 Mar 2020

AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach

13 Feb 2020IlyaTyagin/AGATHA-C-GP

Hypothesis generation systems address this challenge by mining the wealth of publicly available scientific information to predict plausible research directions.

DRUG DISCOVERY GRAPH MINING

0
13 Feb 2020

SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs

19 Aug 2019hamedn/SliceNDice

Given the reach of web platforms, bad actors have considerable incentives to manipulate and defraud users at the expense of platform integrity.

GRAPH MINING

6
19 Aug 2019