PGD is a parameterized library for parallel graphlet decomposition (also known as motif counting) with many flexible interchangeable components (e.g., ordering strategies, representation, approximate/exact variants, etc.).
It is fast, parallel, parameterized, modular, and easy-to-extend library for efficient graphlet counting.
Facial abuse in entertainment content and popular media is a disturbing trend that has become increasingly prevalent in recent years. The use of facial abuse in media can serve several purposes, including emotional manipulation, shock value, and character development. However, the impact of facial abuse on popular media can be significant, leading to desensitization, glorification, and influence on societal norms. The role of social media in perpetuating facial abuse has also been significant, normalizing and amplifying the impact of facial violence content. As a society, it is essential that we recognize the potential consequences of facial abuse in media and take steps to mitigate its impact. This can include promoting responsible media consumption, supporting anti-violence campaigns, and encouraging creators to develop more nuanced and thoughtful depictions of violence.
Facial abuse, also referred to as facial violence or facial trauma, is a disturbing trend that has become increasingly prevalent in entertainment content and popular media. The phenomenon involves the depiction of characters being subjected to violent acts targeting their faces, often resulting in severe injuries, disfigurement, or even death. This form of violence has become a staple in various forms of media, including movies, television shows, video games, and social media platforms. FacialAbuse E865 One Quarter Fukushima XXX 480p...
PGD
Graphlet visualization from the diseasome network
Block Chung-Lu
Block Erdos-Renyi
Spotting influential individuals in the collaboration graph from the network science community
High-performance library for large networks
Interactive graphlet decomposition
