Con2KG-A Large-scale Domain-Specific Knowledge Graph. - Nidhi Goyal; Niharika Sachdeva; Vijay Choudhary; Rijula Kar; Ponnurangam Kumaraguru; Nitendra Rajput (HT, 2019)

KCNet: Kernel-Based Canonicalization Network for Entities in Recruitment Domain. - Nidhi Goyal; Niharika Sachdeva; Anmol Goel; Jushaan Singh Kalra; Ponnurangam Kumaraguru (ICANN (2), 2021)

Spy the Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs. - Nidhi Goyal; Niharika Sachdeva; Ponnurangam Kumaraguru (KSEM, 2021)

Ask It Right! Identifying Low-Quality questions on Community Question Answering Services. - Udit Arora; Nidhi Goyal; Anmol Goel; Niharika Sachdeva; Ponnurangam Kumaraguru (IJCNN, 2022)

Efficient Knowledge Graph Embeddings via Kernelized Random Projections. - Nidhi Goyal; Anmol Goel; Tanuj Garg; Niharika Sachdeva; Ponnurangam Kumaraguru (BDA (Astronomy, Science, and Engineering), 2023)

Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge Graphs. - Nidhi Goyal; Radhika Mamidi; Niharika Sachdeva; Ponnurangam Kumaraguru (COMAD/CODS, 2023)

JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks. - Nidhi Goyal; Jushaan Singh Kalra; Charu Sharma; Raghava Mutharaju; Niharika Sachdeva; Ponnurangam Kumaraguru (EACL (Findings), 2023)

A Systematic Study on Video Summarization: Approaches, Challenges, and Future Directions. - Kajal Kansal; Nikita Kansal; Sreevaatsav Bavana; Bodla Krishna Vamshi; Nidhi Goyal (NarSUM@MM, 2023)

AttriSage: Product Attribute Value Extraction Using Graph Neural Networks. - Rohan Potta; Mallika Asthana; Siddhant Yadav; Nidhi Goyal; Sai Patnaik; Parul Jain (EACL (Student Research Workshop), 2024)

Tight Sampling in Unbounded Networks. - Kshitijaa Jaglan; Meher Chaitanya; Triansh Sharma; Abhijeeth Singam; Nidhi Goyal; Ponnurangam Kumaraguru; Ulrik Brandes (ICWSM, 2024)