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Shubham Gupta
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Publications
- 2024
- [c55]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. COMAD/CODS 2024: 54-63 - [i35]Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives. CoRR abs/2402.09239 (2024) - 2023
- [c52]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML 2023: 12165-12181 - [i32]Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur:
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR abs/2306.03447 (2023) - [i31]Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur:
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR abs/2306.03480 (2023) - 2022
- [c48]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI 2022: 6819-6828 - [i26]Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR abs/2203.03564 (2022) - [i25]Shubham Gupta, Srikanta Bedathur:
A Survey on Temporal Graph Representation Learning and Generative Modeling. CoRR abs/2208.12126 (2022)
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