Jacob Danovitch
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View article: TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs Open
Multi-relational temporal graphs are powerful tools for modeling real-world data, capturing the evolving and interconnected nature of entities over time. Recently, many novel models are proposed for ML on such graphs intensifying the need …
View article: Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Open
We present the Temporal Graph Benchmark (TGB), a collection of challenging and diverse benchmark datasets for realistic, reproducible, and robust evaluation of machine learning models on temporal graphs. TGB datasets are of large scale, sp…
View article: Fast and Attributed Change Detection on Dynamic Graphs with Density of States
Fast and Attributed Change Detection on Dynamic Graphs with Density of States Open
How can we detect traffic disturbances from international flight transportation logs or changes to collaboration dynamics in academic networks? These problems can be formulated as detecting anomalous change points in a dynamic graph. Curre…
View article: The Surprising Performance of Simple Baselines for Misinformation Detection
The Surprising Performance of Simple Baselines for Misinformation Detection Open
As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours. While many sophisticated and successful mod…
View article: The Surprising Performance of Simple Baselines for Misinformation\n Detection
The Surprising Performance of Simple Baselines for Misinformation\n Detection Open
As social media becomes increasingly prominent in our day to day lives, it is\nincreasingly important to detect informative content and prevent the spread of\ndisinformation and unverified rumours. While many sophisticated and successful\n…
View article: Linking Social Media Posts to News with Siamese Transformers
Linking Social Media Posts to News with Siamese Transformers Open
Many computational social science projects examine online discourse surrounding a specific trending topic. These works often involve the acquisition of large-scale corpora relevant to the event in question to analyze aspects of the respons…
View article: ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents Open
Given the global scale of COVID-19 and the flood of social media content related to it, how can we find informative discussions? We present Gapformer, which effectively classifies content as informative or not. It reformulates the problem …
View article: Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports
Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports Open
In baseball, a scouting report profiles a player's characteristics and traits, usually intended for use in player valuation. This work presents a first-of-its-kind dataset of almost 10,000 scouting reports for minor league, international, …